Pandas Profiling Report

Dataset statistics

Number of variables	42
Number of observations	1083397
Missing cells	11154479
Missing cells (%)	24.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 GiB
Average record size in memory	1.9 KiB

Variable types

Categorical	22
Numeric	17
Boolean	3

Alerts

`restaurant_link` has a high cardinality: 1083397 distinct values	High cardinality
`restaurant_name` has a high cardinality: 840914 distinct values	High cardinality
`original_location` has a high cardinality: 65997 distinct values	High cardinality
`region` has a high cardinality: 250 distinct values	High cardinality
`province` has a high cardinality: 1333 distinct values	High cardinality
`city` has a high cardinality: 43495 distinct values	High cardinality
`address` has a high cardinality: 1034685 distinct values	High cardinality
`awards` has a high cardinality: 917 distinct values	High cardinality
`popularity_detailed` has a high cardinality: 981409 distinct values	High cardinality
`popularity_generic` has a high cardinality: 981940 distinct values	High cardinality
`top_tags` has a high cardinality: 39962 distinct values	High cardinality
`price_range` has a high cardinality: 7298 distinct values	High cardinality
`meals` has a high cardinality: 745 distinct values	High cardinality
`cuisines` has a high cardinality: 97741 distinct values	High cardinality
`special_diets` has a high cardinality: 68 distinct values	High cardinality
`features` has a high cardinality: 56453 distinct values	High cardinality
`original_open_hours` has a high cardinality: 237890 distinct values	High cardinality
`keywords` has a high cardinality: 99001 distinct values	High cardinality
`open_days_per_week` is highly correlated with `open_hours_per_week`	High correlation
`open_hours_per_week` is highly correlated with `open_days_per_week`	High correlation
`avg_rating` is highly correlated with `food` and 3 other fields	High correlation
`total_reviews_count` is highly correlated with `reviews_count_in_default_language` and 3 other fields	High correlation
`reviews_count_in_default_language` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`excellent` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`very_good` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`average` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`poor` is highly correlated with `reviews_count_in_default_language` and 4 other fields	High correlation
`terrible` is highly correlated with `reviews_count_in_default_language` and 4 other fields	High correlation
`food` is highly correlated with `avg_rating` and 3 other fields	High correlation
`service` is highly correlated with `avg_rating` and 3 other fields	High correlation
`value` is highly correlated with `avg_rating` and 3 other fields	High correlation
`atmosphere` is highly correlated with `avg_rating` and 3 other fields	High correlation
`open_days_per_week` is highly correlated with `open_hours_per_week`	High correlation
`open_hours_per_week` is highly correlated with `open_days_per_week`	High correlation
`avg_rating` is highly correlated with `food` and 3 other fields	High correlation
`total_reviews_count` is highly correlated with `reviews_count_in_default_language` and 4 other fields	High correlation
`reviews_count_in_default_language` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`excellent` is highly correlated with `total_reviews_count` and 4 other fields	High correlation
`very_good` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`average` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`poor` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`terrible` is highly correlated with `reviews_count_in_default_language` and 3 other fields	High correlation
`food` is highly correlated with `avg_rating` and 3 other fields	High correlation
`service` is highly correlated with `avg_rating` and 3 other fields	High correlation
`value` is highly correlated with `avg_rating` and 3 other fields	High correlation
`atmosphere` is highly correlated with `avg_rating` and 3 other fields	High correlation
`avg_rating` is highly correlated with `food` and 3 other fields	High correlation
`total_reviews_count` is highly correlated with `reviews_count_in_default_language`	High correlation
`reviews_count_in_default_language` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`excellent` is highly correlated with `reviews_count_in_default_language` and 1 other fields	High correlation
`very_good` is highly correlated with `reviews_count_in_default_language` and 4 other fields	High correlation
`average` is highly correlated with `reviews_count_in_default_language` and 3 other fields	High correlation
`poor` is highly correlated with `reviews_count_in_default_language` and 3 other fields	High correlation
`terrible` is highly correlated with `reviews_count_in_default_language` and 3 other fields	High correlation
`food` is highly correlated with `avg_rating` and 3 other fields	High correlation
`service` is highly correlated with `avg_rating` and 3 other fields	High correlation
`value` is highly correlated with `avg_rating` and 2 other fields	High correlation
`atmosphere` is highly correlated with `avg_rating` and 2 other fields	High correlation
`gluten_free` is highly correlated with `vegan_options` and 1 other fields	High correlation
`vegan_options` is highly correlated with `gluten_free` and 2 other fields	High correlation
`vegetarian_friendly` is highly correlated with `vegan_options` and 1 other fields	High correlation
`special_diets` is highly correlated with `gluten_free` and 2 other fields	High correlation
`country` is highly correlated with `latitude` and 1 other fields	High correlation
`latitude` is highly correlated with `country` and 1 other fields	High correlation
`longitude` is highly correlated with `country` and 1 other fields	High correlation
`claimed` is highly correlated with `vegetarian_friendly`	High correlation
`special_diets` is highly correlated with `vegetarian_friendly` and 2 other fields	High correlation
`vegetarian_friendly` is highly correlated with `claimed` and 4 other fields	High correlation
`vegan_options` is highly correlated with `special_diets` and 2 other fields	High correlation
`gluten_free` is highly correlated with `special_diets` and 2 other fields	High correlation
`open_days_per_week` is highly correlated with `open_hours_per_week` and 1 other fields	High correlation
`open_hours_per_week` is highly correlated with `open_days_per_week` and 1 other fields	High correlation
`working_shifts_per_week` is highly correlated with `open_days_per_week` and 1 other fields	High correlation
`avg_rating` is highly correlated with `food` and 3 other fields	High correlation
`total_reviews_count` is highly correlated with `reviews_count_in_default_language` and 3 other fields	High correlation
`default_language` is highly correlated with `vegetarian_friendly`	High correlation
`reviews_count_in_default_language` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`excellent` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`very_good` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`average` is highly correlated with `total_reviews_count` and 5 other fields	High correlation
`poor` is highly correlated with `reviews_count_in_default_language` and 4 other fields	High correlation
`terrible` is highly correlated with `reviews_count_in_default_language` and 4 other fields	High correlation
`food` is highly correlated with `avg_rating` and 3 other fields	High correlation
`service` is highly correlated with `avg_rating` and 3 other fields	High correlation
`value` is highly correlated with `avg_rating` and 3 other fields	High correlation
`atmosphere` is highly correlated with `avg_rating` and 3 other fields	High correlation
`region` has 50323 (4.6%) missing values	Missing
`province` has 340632 (31.4%) missing values	Missing
`city` has 400685 (37.0%) missing values	Missing
`latitude` has 15790 (1.5%) missing values	Missing
`longitude` has 15790 (1.5%) missing values	Missing
`awards` has 820264 (75.7%) missing values	Missing
`popularity_detailed` has 94988 (8.8%) missing values	Missing
`popularity_generic` has 97792 (9.0%) missing values	Missing
`top_tags` has 110634 (10.2%) missing values	Missing
`price_level` has 277205 (25.6%) missing values	Missing
`price_range` has 779070 (71.9%) missing values	Missing
`meals` has 448050 (41.4%) missing values	Missing
`cuisines` has 169103 (15.6%) missing values	Missing
`special_diets` has 743141 (68.6%) missing values	Missing
`features` has 765990 (70.7%) missing values	Missing
`original_open_hours` has 489565 (45.2%) missing values	Missing
`open_days_per_week` has 489565 (45.2%) missing values	Missing
`open_hours_per_week` has 489565 (45.2%) missing values	Missing
`working_shifts_per_week` has 489565 (45.2%) missing values	Missing
`avg_rating` has 96636 (8.9%) missing values	Missing
`total_reviews_count` has 52235 (4.8%) missing values	Missing
`default_language` has 95193 (8.8%) missing values	Missing
`reviews_count_in_default_language` has 95193 (8.8%) missing values	Missing
`excellent` has 95193 (8.8%) missing values	Missing
`very_good` has 95193 (8.8%) missing values	Missing
`average` has 95193 (8.8%) missing values	Missing
`poor` has 95193 (8.8%) missing values	Missing
`terrible` has 95193 (8.8%) missing values	Missing
`food` has 484072 (44.7%) missing values	Missing
`service` has 479110 (44.2%) missing values	Missing
`value` has 480705 (44.4%) missing values	Missing
`atmosphere` has 821612 (75.8%) missing values	Missing
`keywords` has 984199 (90.8%) missing values	Missing
`total_reviews_count` is highly skewed (γ1 = 25.28240244)	Skewed
`average` is highly skewed (γ1 = 21.42675175)	Skewed
`restaurant_link` is uniformly distributed	Uniform
`address` is uniformly distributed	Uniform
`popularity_detailed` is uniformly distributed	Uniform
`popularity_generic` is uniformly distributed	Uniform
`keywords` is uniformly distributed	Uniform
`restaurant_link` has unique values	Unique
`total_reviews_count` has 44149 (4.1%) zeros	Zeros
`excellent` has 146592 (13.5%) zeros	Zeros
`very_good` has 278879 (25.7%) zeros	Zeros
`average` has 493840 (45.6%) zeros	Zeros
`poor` has 614652 (56.7%) zeros	Zeros
`terrible` has 573943 (53.0%) zeros	Zeros

Reproduction

Analysis started	2021-12-08 05:53:21.849890
Analysis finished	2021-12-08 06:05:07.011385
Duration	11 minutes and 45.16 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

restaurant_link
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	1083397
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	76.2 MiB

g4173422-d19235050	1
g7377416-d2002991	1
g1073586-d14939977	1
g187791-d15780017	1
g187803-d12133958	1
Other values (1083392)	1083392

Length

Max length	19
Median length	17
Mean length	16.73728282
Min length	15

Characters and Unicode

Total characters	18133122
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1083397 ?
Unique (%)	100.0%

Sample

1st row	g10001637-d10002227
2nd row	g10001637-d14975787
3rd row	g10002858-d4586832
4th row	g10002986-d3510044
5th row	g10022428-d9767191

Common Values

Value	Count	Frequency (%)
g4173422-d19235050	1	< 0.1%
g7377416-d2002991	1	< 0.1%
g1073586-d14939977	1	< 0.1%
g187791-d15780017	1	< 0.1%
g187803-d12133958	1	< 0.1%
g187458-d21360473	1	< 0.1%
g1547037-d4919342	1	< 0.1%
g504128-d10146600	1	< 0.1%
g3320396-d3627425	1	< 0.1%
g804273-d19082912	1	< 0.1%
Other values (1083387)	1083387	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
g4173422-d19235050	1	< 0.1%
g187391-d3241304	1	< 0.1%
g316018-d1978381	1	< 0.1%
g8429732-d8342611	1	< 0.1%
g503723-d20941365	1	< 0.1%
g274914-d2289055	1	< 0.1%
g186338-d15704010	1	< 0.1%
g503808-d21068175	1	< 0.1%
g2429250-d11920017	1	< 0.1%
g9595282-d12446977	1	< 0.1%
Other values (1083387)	1083387	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
1	2367706	13.1%
8	1676353	9.2%
7	1560090	8.6%
2	1446741	8.0%
4	1346138	7.4%
6	1335721	7.4%
3	1318883	7.3%
5	1281134	7.1%
0	1276116	7.0%
9	1274049	7.0%
Other values (3)	3250191	17.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14882931	82.1%
Lowercase Letter	2166794	11.9%
Dash Punctuation	1083397	6.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2367706	15.9%
8	1676353	11.3%
7	1560090	10.5%
2	1446741	9.7%
4	1346138	9.0%
6	1335721	9.0%
3	1318883	8.9%
5	1281134	8.6%
0	1276116	8.6%
9	1274049	8.6%

Lowercase Letter

Value	Count	Frequency (%)
g	1083397	50.0%
d	1083397	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1083397	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15966328	88.1%
Latin	2166794	11.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2367706	14.8%
8	1676353	10.5%
7	1560090	9.8%
2	1446741	9.1%
4	1346138	8.4%
6	1335721	8.4%
3	1318883	8.3%
5	1281134	8.0%
0	1276116	8.0%
9	1274049	8.0%

Latin

Value	Count	Frequency (%)
g	1083397	50.0%
d	1083397	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18133122	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2367706	13.1%
8	1676353	9.2%
7	1560090	8.6%
2	1446741	8.0%
4	1346138	7.4%
6	1335721	7.4%
3	1318883	7.3%
5	1281134	7.1%
0	1276116	7.0%
9	1274049	7.0%
Other values (3)	3250191	17.9%

restaurant_name
Categorical

HIGH CARDINALITY

Distinct	840914
Distinct (%)	77.6%
Missing	0
Missing (%)	0.0%
Memory size	77.3 MiB

Subway	4881
McDonald's	4458
Burger King	2480
Domino's Pizza	2163
KFC	1501
Other values (840909)	1067914

Length

Max length	105
Median length	15
Mean length	16.36735933
Min length	1

Characters and Unicode

Total characters	17732348
Distinct characters	525
Distinct categories	24 ?
Distinct scripts	10 ?
Distinct blocks	20 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	768249 ?
Unique (%)	70.9%

Sample

1st row	Le 147
2nd row	Le Saint Jouvent
3rd row	Au Bout du Pont
4th row	Le Relais de Naiade
5th row	Relais Du MontSeigne

Common Values

Value	Count	Frequency (%)
Subway	4881	0.5%
McDonald's	4458	0.4%
Burger King	2480	0.2%
Domino's Pizza	2163	0.2%
KFC	1501	0.1%
Costa Coffee	1367	0.1%
Starbucks	1119	0.1%
Pizza Hut	992	0.1%
Wild Bean Cafe	920	0.1%
BP	629	0.1%
Other values (840904)	1062887	98.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
la	80549	2.9%
restaurant	68041	2.4%
	63134	2.2%
bar	59221	2.1%
the	46634	1.7%
cafe	45343	1.6%
le	38849	1.4%
pizzeria	35085	1.2%
de	33968	1.2%
ristorante	29268	1.0%
Other values (342372)	2322299	82.3%

Most occurring characters

Value	Count	Frequency (%)
a	1949331	11.0%
	1741579	9.8%
e	1614156	9.1%
r	1122456	6.3%
i	1111677	6.3%
o	971826	5.5%
t	900478	5.1%
n	874322	4.9%
s	784395	4.4%
l	641495	3.6%
Other values (515)	6020633	34.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13003878	73.3%
Uppercase Letter	2723843	15.4%
Space Separator	1741693	9.8%
Other Punctuation	156647	0.9%
Decimal Number	57223	0.3%
Dash Punctuation	39849	0.2%
Final Punctuation	3552	< 0.1%
Open Punctuation	1418	< 0.1%
Close Punctuation	1382	< 0.1%
Modifier Symbol	850	< 0.1%
Other values (14)	2013	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1949331	15.0%
e	1614156	12.4%
r	1122456	8.6%
i	1111677	8.5%
o	971826	7.5%
t	900478	6.9%
n	874322	6.7%
s	784395	6.0%
l	641495	4.9%
u	508203	3.9%
Other values (166)	2525539	19.4%

Uppercase Letter

Value	Count	Frequency (%)
C	282760	10.4%
B	238570	8.8%
P	226554	8.3%
R	218269	8.0%
L	215980	7.9%
S	179794	6.6%
T	172625	6.3%
A	146714	5.4%
M	145033	5.3%
D	115710	4.2%
Other values (126)	781834	28.7%

Other Letter

Value	Count	Frequency (%)
º	35	18.4%
ª	14	7.4%
ا	7	3.7%
ل	5	2.6%
酒	5	2.6%
ن	4	2.1%
中	3	1.6%
楼	3	1.6%
ه	3	1.6%
ب	3	1.6%
Other values (89)	108	56.8%

Other Punctuation

Value	Count	Frequency (%)
'	85471	54.6%
&	44219	28.2%
.	14769	9.4%
,	4632	3.0%
"	3626	2.3%
!	1282	0.8%
/	1126	0.7%
@	467	0.3%
:	287	0.2%
#	260	0.2%
Other values (12)	508	0.3%

Decimal Number

Value	Count	Frequency (%)
1	11168	19.5%
2	9127	15.9%
0	7520	13.1%
3	5656	9.9%
4	4370	7.6%
9	4361	7.6%
5	4122	7.2%
8	3853	6.7%
7	3524	6.2%
6	3522	6.2%

Nonspacing Mark

Value	Count	Frequency (%)
́	141	42.0%
̈	133	39.6%
̀	41	12.2%
̌	7	2.1%
̃	6	1.8%
̂	4	1.2%
ِ	1	0.3%
्	1	0.3%
̊	1	0.3%
̧	1	0.3%

Other Symbol

Value	Count	Frequency (%)
°	105	67.3%
®	41	26.3%
№	2	1.3%
©	2	1.3%
¦	1	0.6%
🌏	1	0.6%
🌍	1	0.6%
🌎	1	0.6%
🍅	1	0.6%
♥	1	0.6%

Math Symbol

Value	Count	Frequency (%)
+	582	76.0%
\|	156	20.4%
~	14	1.8%
=	6	0.8%
∙	3	0.4%
>	3	0.4%
∞	1	0.1%
⎜	1	0.1%

Space Separator

Value	Count	Frequency (%)
	1741579	> 99.9%
	110	< 0.1%
	1	< 0.1%
	1	< 0.1%
	1	< 0.1%
	1	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
´	537	63.2%
`	301	35.4%
¨	7	0.8%
˝	2	0.2%
^	2	0.2%
΄	1	0.1%

Format

Value	Count	Frequency (%)
‎	22	41.5%
	18	34.0%
	7	13.2%
	3	5.7%
‏	2	3.8%
‬	1	1.9%

Open Punctuation

Value	Count	Frequency (%)
(	1357	95.7%
„	32	2.3%
[	27	1.9%
{	1	0.1%
（	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	39692	99.6%
–	153	0.4%
—	3	< 0.1%
‐	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	1354	98.0%
]	26	1.9%
}	1	0.1%
）	1	0.1%

Modifier Letter

Value	Count	Frequency (%)
ˋ	2	40.0%
ᵒ	1	20.0%
ᶜ	1	20.0%
ʾ	1	20.0%

Final Punctuation

Value	Count	Frequency (%)
’	3469	97.7%
”	69	1.9%
»	14	0.4%

Initial Punctuation

Value	Count	Frequency (%)
‘	207	65.3%
“	96	30.3%
«	14	4.4%

Other Number

Value	Count	Frequency (%)
²	20	87.0%
¾	2	8.7%
³	1	4.3%

Currency Symbol

Value	Count	Frequency (%)
€	5	45.5%
$	4	36.4%
£	2	18.2%

Control

Value	Count	Frequency (%)
	1	33.3%
	1	33.3%
	1	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	149	100.0%

Spacing Mark

Value	Count	Frequency (%)
ा	2	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Line Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15724854	88.7%
Common	2004095	11.3%
Greek	2570	< 0.1%
Cyrillic	350	< 0.1%
Inherited	335	< 0.1%
Han	83	< 0.1%
Arabic	42	< 0.1%
Hebrew	7	< 0.1%
Devanagari	6	< 0.1%
Katakana	6	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1949331	12.4%
e	1614156	10.3%
r	1122456	7.1%
i	1111677	7.1%
o	971826	6.2%
t	900478	5.7%
n	874322	5.6%
s	784395	5.0%
l	641495	4.1%
u	508203	3.2%
Other values (199)	5246515	33.4%

Common

Value	Count	Frequency (%)
	1741579	86.9%
'	85471	4.3%
&	44219	2.2%
-	39692	2.0%
.	14769	0.7%
1	11168	0.6%
2	9127	0.5%
0	7520	0.4%
3	5656	0.3%
,	4632	0.2%
Other values (89)	40262	2.0%

Han

Value	Count	Frequency (%)
酒	5	6.0%
中	3	3.6%
楼	3	3.6%
香	3	3.6%
菜	2	2.4%
川	2	2.4%
意	2	2.4%
港	2	2.4%
记	2	2.4%
园	2	2.4%
Other values (53)	57	68.7%

Greek

Value	Count	Frequency (%)
α	295	11.5%
ο	232	9.0%
ι	148	5.8%
ν	131	5.1%
ρ	128	5.0%
τ	113	4.4%
ε	98	3.8%
Τ	93	3.6%
κ	86	3.3%
λ	84	3.3%
Other values (50)	1162	45.2%

Cyrillic

Value	Count	Frequency (%)
а	57	16.3%
н	29	8.3%
т	28	8.0%
р	26	7.4%
е	24	6.9%
и	21	6.0%
о	19	5.4%
с	15	4.3%
к	12	3.4%
л	10	2.9%
Other values (39)	109	31.1%

Arabic

Value	Count	Frequency (%)
ا	7	16.7%
ل	5	11.9%
ن	4	9.5%
ه	3	7.1%
ب	3	7.1%
ي	3	7.1%
م	2	4.8%
د	2	4.8%
ر	2	4.8%
ک	2	4.8%
Other values (9)	9	21.4%

Inherited

Value	Count	Frequency (%)
́	141	42.1%
̈	133	39.7%
̀	41	12.2%
̌	7	2.1%
̃	6	1.8%
̂	4	1.2%
ِ	1	0.3%
̊	1	0.3%
̧	1	0.3%

Hebrew

Value	Count	Frequency (%)
ק	2	28.6%
ם	1	14.3%
ר	1	14.3%
ט	1	14.3%
ש	1	14.3%
כ	1	14.3%

Katakana

Value	Count	Frequency (%)
ヤ	1	16.7%
イ	1	16.7%
ダ	1	16.7%
ド	1	16.7%
ン	1	16.7%
モ	1	16.7%

Devanagari

Value	Count	Frequency (%)
ा	2	33.3%
य	1	16.7%
त	1	16.7%
्	1	16.7%
र	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17659195	99.6%
None	68133	0.4%
Punctuation	4150	< 0.1%
Cyrillic	350	< 0.1%
Diacriticals	334	< 0.1%
CJK	83	< 0.1%
Arabic	43	< 0.1%
Latin Ext Additional	20	< 0.1%
Hebrew	7	< 0.1%
Devanagari	6	< 0.1%
Other values (10)	27	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1949331	11.0%
	1741579	9.9%
e	1614156	9.1%
r	1122456	6.4%
i	1111677	6.3%
o	971826	5.5%
t	900478	5.1%
n	874322	5.0%
s	784395	4.4%
l	641495	3.6%
Other values (85)	5947480	33.7%

None

Value	Count	Frequency (%)
é	17796	26.1%
í	5674	8.3%
è	5598	8.2%
ó	3521	5.2%
á	3486	5.1%
ü	3171	4.7%
ä	3157	4.6%
ö	2963	4.3%
à	1926	2.8%
ñ	1416	2.1%
Other values (222)	19425	28.5%

Punctuation

Value	Count	Frequency (%)
’	3469	83.6%
‘	207	5.0%
–	153	3.7%
“	96	2.3%
•	71	1.7%
”	69	1.7%
„	32	0.8%
‎	22	0.5%
	18	0.4%
—	3	0.1%
Other values (8)	10	0.2%

Diacriticals

Value	Count	Frequency (%)
́	141	42.2%
̈	133	39.8%
̀	41	12.3%
̌	7	2.1%
̃	6	1.8%
̂	4	1.2%
̊	1	0.3%
̧	1	0.3%

Cyrillic

Value	Count	Frequency (%)
а	57	16.3%
н	29	8.3%
т	28	8.0%
р	26	7.4%
е	24	6.9%
и	21	6.0%
о	19	5.4%
с	15	4.3%
к	12	3.4%
л	10	2.9%
Other values (39)	109	31.1%

Arabic

Value	Count	Frequency (%)
ا	7	16.3%
ل	5	11.6%
ن	4	9.3%
ه	3	7.0%
ب	3	7.0%
ي	3	7.0%
م	2	4.7%
د	2	4.7%
ر	2	4.7%
ک	2	4.7%
Other values (10)	10	23.3%

Latin Ext Additional

Value	Count	Frequency (%)
ệ	5	25.0%
ở	5	25.0%
ộ	2	10.0%
Ế	1	5.0%
ế	1	5.0%
ḗ	1	5.0%
Ứ	1	5.0%
ạ	1	5.0%
ḯ	1	5.0%
ṓ	1	5.0%

Currency Symbols

Value	Count	Frequency (%)
€	5	100.0%

CJK

Value	Count	Frequency (%)
酒	5	6.0%
中	3	3.6%
楼	3	3.6%
香	3	3.6%
菜	2	2.4%
川	2	2.4%
意	2	2.4%
港	2	2.4%
记	2	2.4%
园	2	2.4%
Other values (53)	57	68.7%

Math Operators

Value	Count	Frequency (%)
∙	3	75.0%
∞	1	25.0%

Letterlike Symbols

Value	Count	Frequency (%)
№	2	100.0%

Modifier Letters

Value	Count	Frequency (%)
˝	2	40.0%
ˋ	2	40.0%
ʾ	1	20.0%

Hebrew

Value	Count	Frequency (%)
ק	2	28.6%
ם	1	14.3%
ר	1	14.3%
ט	1	14.3%
ש	1	14.3%
כ	1	14.3%

Devanagari

Value	Count	Frequency (%)
ा	2	33.3%
य	1	16.7%
त	1	16.7%
्	1	16.7%
र	1	16.7%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Katakana

Value	Count	Frequency (%)
ヤ	1	16.7%
イ	1	16.7%
ダ	1	16.7%
ド	1	16.7%
ン	1	16.7%
モ	1	16.7%

Phonetic Ext

Value	Count	Frequency (%)
ᵒ	1	100.0%

Misc Technical

Value	Count	Frequency (%)
⎜	1	100.0%

Phonetic Ext Sup

Value	Count	Frequency (%)
ᶜ	1	100.0%

Misc Symbols

Value	Count	Frequency (%)
♥	1	100.0%

original_location
Categorical

HIGH CARDINALITY

Distinct	65997
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Memory size	127.9 MiB

["Europe", "United Kingdom (UK)", "England", "London"]	22942
["Europe", "France", "Ile-de-France", "Paris"]	18129
["Europe", "Italy", "Lazio", "Rome"]	12603
["Europe", "Spain", "Community of Madrid", "Madrid"]	12134
["Europe", "Spain", "Catalonia", "Province of Barcelona", "Barcelona"]	10285
Other values (65992)	1007304

Length

Max length	151
Median length	67
Mean length	66.78260601
Min length	19

Characters and Unicode

Total characters	72352075
Distinct characters	71
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21413 ?
Unique (%)	2.0%

Sample

1st row	["Europe", "France", "Nouvelle-Aquitaine", "Haute-Vienne", "Saint-Jouvent"]
2nd row	["Europe", "France", "Nouvelle-Aquitaine", "Haute-Vienne", "Saint-Jouvent"]
3rd row	["Europe", "France", "Centre-Val de Loire", "Berry", "Indre", "Rivarennes"]
4th row	["Europe", "France", "Nouvelle-Aquitaine", "Correze", "Lacelle"]
5th row	["Europe", "France", "Occitanie", "Aveyron", "Saint-Laurent-de-Levezou"]

Common Values

Value	Count	Frequency (%)
["Europe", "United Kingdom (UK)", "England", "London"]	22942	2.1%
["Europe", "France", "Ile-de-France", "Paris"]	18129	1.7%
["Europe", "Italy", "Lazio", "Rome"]	12603	1.2%
["Europe", "Spain", "Community of Madrid", "Madrid"]	12134	1.1%
["Europe", "Spain", "Catalonia", "Province of Barcelona", "Barcelona"]	10285	0.9%
["Europe", "Italy", "Lombardy", "Milan"]	8382	0.8%
["Europe", "Germany", "Berlin"]	7217	0.7%
["Europe", "Czech Republic", "Bohemia", "Prague"]	6035	0.6%
["Europe", "Portugal", "Central Portugal", "Lisbon District", "Lisbon"]	5261	0.5%
["Europe", "Austria", "Vienna Region", "Vienna"]	4571	0.4%
Other values (65987)	975838	90.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
europe	1083397	14.7%
province	381688	5.2%
of	336316	4.6%
italy	224763	3.0%
kingdom	171664	2.3%
uk	171664	2.3%
united	171664	2.3%
spain	157486	2.1%
france	155288	2.1%
england	144681	2.0%
Other values (61028)	4384880	59.4%

Most occurring characters

Value	Count	Frequency (%)
"	10516036	14.5%
	6300149	8.7%
e	5091386	7.0%
a	4329028	6.0%
,	4174631	5.8%
o	4039912	5.6%
r	4013033	5.5%
n	3815234	5.3%
i	2982907	4.1%
u	2053406	2.8%
Other values (61)	25036353	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40851093	56.5%
Other Punctuation	14739954	20.4%
Uppercase Letter	7462877	10.3%
Space Separator	6300149	8.7%
Close Punctuation	1256228	1.7%
Open Punctuation	1256228	1.7%
Dash Punctuation	484731	0.7%
Decimal Number	815	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5091386	12.5%
a	4329028	10.6%
o	4039912	9.9%
r	4013033	9.8%
n	3815234	9.3%
i	2982907	7.3%
u	2053406	5.0%
l	2019889	4.9%
t	1928588	4.7%
p	1500452	3.7%
Other values (16)	9077258	22.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1317168	17.6%
P	737802	9.9%
S	527168	7.1%
C	515208	6.9%
K	388069	5.2%
A	384463	5.2%
U	378131	5.1%
B	348781	4.7%
I	347383	4.7%
F	320957	4.3%
Other values (16)	2197747	29.4%

Decimal Number

Value	Count	Frequency (%)
0	307	37.7%
2	221	27.1%
1	144	17.7%
3	99	12.1%
9	42	5.2%
7	1	0.1%
4	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
"	10516036	71.3%
,	4174631	28.3%
'	48258	0.3%
.	606	< 0.1%
\	422	< 0.1%
&	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
]	1083397	86.2%
)	172831	13.8%

Open Punctuation

Value	Count	Frequency (%)
[	1083397	86.2%
(	172831	13.8%

Space Separator

Value	Count	Frequency (%)
	6300149	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	484731	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48313970	66.8%
Common	24038105	33.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5091386	10.5%
a	4329028	9.0%
o	4039912	8.4%
r	4013033	8.3%
n	3815234	7.9%
i	2982907	6.2%
u	2053406	4.3%
l	2019889	4.2%
t	1928588	4.0%
p	1500452	3.1%
Other values (42)	16540135	34.2%

Common

Value	Count	Frequency (%)
"	10516036	43.7%
	6300149	26.2%
,	4174631	17.4%
]	1083397	4.5%
[	1083397	4.5%
-	484731	2.0%
)	172831	0.7%
(	172831	0.7%
'	48258	0.2%
.	606	< 0.1%
Other values (9)	1238	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72352075	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	10516036	14.5%
	6300149	8.7%
e	5091386	7.0%
a	4329028	6.0%
,	4174631	5.8%
o	4039912	5.6%
r	4013033	5.5%
n	3815234	5.3%
i	2982907	4.1%
u	2053406	2.8%
Other values (61)	25036353	34.6%

country
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.6 MiB

Italy	224763
Spain	157479
France	155288
England	144681
Germany	115333
Other values (19)	285853

Length

Max length	16
Median length	6
Mean length	6.460420326
Min length	5

Characters and Unicode

Total characters	6999200
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	France
2nd row	France
3rd row	France
4th row	France
5th row	France

Common Values

Value	Count	Frequency (%)
Italy	224763	20.7%
Spain	157479	14.5%
France	155288	14.3%
England	144681	13.4%
Germany	115333	10.6%
Greece	33763	3.1%
Portugal	32592	3.0%
The Netherlands	29792	2.7%
Poland	24698	2.3%
Belgium	23711	2.2%
Other values (14)	141297	13.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
italy	224763	19.9%
spain	157479	13.9%
france	155288	13.7%
england	144681	12.8%
germany	115333	10.2%
greece	33763	3.0%
portugal	32592	2.9%
the	29792	2.6%
netherlands	29792	2.6%
poland	24698	2.2%
Other values (16)	183486	16.2%

Most occurring characters

Value	Count	Frequency (%)
a	1017461	14.5%
n	862695	12.3%
e	588885	8.4%
l	549359	7.8%
r	439120	6.3%
y	347527	5.0%
t	333858	4.8%
d	254150	3.6%
i	248830	3.6%
I	239600	3.4%
Other values (28)	2117715	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5819263	83.1%
Uppercase Letter	1131667	16.2%
Space Separator	48270	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1017461	17.5%
n	862695	14.8%
e	588885	10.1%
l	549359	9.4%
r	439120	7.5%
y	347527	6.0%
t	333858	5.7%
d	254150	4.4%
i	248830	4.3%
c	232954	4.0%
Other values (12)	944424	16.2%

Uppercase Letter

Value	Count	Frequency (%)
I	239600	21.2%
S	194500	17.2%
F	162660	14.4%
G	149096	13.2%
E	144681	12.8%
P	57290	5.1%
N	33426	3.0%
T	29792	2.6%
B	28180	2.5%
C	23219	2.1%
Other values (5)	69223	6.1%

Space Separator

Value	Count	Frequency (%)
	48270	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6950930	99.3%
Common	48270	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1017461	14.6%
n	862695	12.4%
e	588885	8.5%
l	549359	7.9%
r	439120	6.3%
y	347527	5.0%
t	333858	4.8%
d	254150	3.7%
i	248830	3.6%
I	239600	3.4%
Other values (27)	2069445	29.8%

Common

Value	Count	Frequency (%)
	48270	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6999200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1017461	14.5%
n	862695	12.3%
e	588885	8.4%
l	549359	7.8%
r	439120	6.3%
y	347527	5.0%
t	333858	4.8%
d	254150	3.6%
i	248830	3.6%
I	239600	3.4%
Other values (28)	2117715	30.3%

region
Categorical

HIGH CARDINALITY
MISSING

Distinct	250
Distinct (%)	< 0.1%
Missing	50323
Missing (%)	4.6%
Memory size	69.1 MiB

Lombardy	33097
Ile-de-France	31271
Andalucia	29562
Catalonia	28569
Lazio	23831
Other values (245)	886744

Length

Max length	28
Median length	9
Mean length	11.56804837
Min length	4

Characters and Unicode

Total characters	11950650
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Nouvelle-Aquitaine
2nd row	Nouvelle-Aquitaine
3rd row	Centre-Val de Loire
4th row	Nouvelle-Aquitaine
5th row	Occitanie

Common Values

Value	Count	Frequency (%)
Lombardy	33097	3.1%
Ile-de-France	31271	2.9%
Andalucia	29562	2.7%
Catalonia	28569	2.6%
Lazio	23831	2.2%
London	22942	2.1%
Bavaria	21531	2.0%
North Rhine-Westphalia	21116	1.9%
Auvergne-Rhone-Alpes	20753	1.9%
Provence-Alpes-Cote d'Azur	19925	1.8%
Other values (240)	780477	72.0%
(Missing)	50323	4.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	33839	2.4%
lombardy	33097	2.3%
central	32835	2.3%
ile-de-france	31271	2.2%
andalucia	29562	2.1%
london	29388	2.0%
catalonia	28569	2.0%
islands	28244	2.0%
poland	24698	1.7%
north	24377	1.7%
Other values (262)	1138158	79.4%

Most occurring characters

Value	Count	Frequency (%)
a	1296788	10.9%
e	1104772	9.2%
n	935839	7.8%
r	806044	6.7%
i	784125	6.6%
o	698710	5.8%
t	593900	5.0%
l	567339	4.7%
s	461365	3.9%
d	408191	3.4%
Other values (43)	4293577	35.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9656415	80.8%
Uppercase Letter	1601456	13.4%
Space Separator	400964	3.4%
Dash Punctuation	270679	2.3%
Other Punctuation	21136	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1296788	13.4%
e	1104772	11.4%
n	935839	9.7%
r	806044	8.3%
i	784125	8.1%
o	698710	7.2%
t	593900	6.2%
l	567339	5.9%
s	461365	4.8%
d	408191	4.2%
Other values (16)	1999342	20.7%

Uppercase Letter

Value	Count	Frequency (%)
C	207371	12.9%
A	205346	12.8%
L	145737	9.1%
P	128733	8.0%
B	106354	6.6%
S	90956	5.7%
R	83882	5.2%
W	76469	4.8%
N	70134	4.4%
M	65597	4.1%
Other values (14)	420877	26.3%

Space Separator

Value	Count	Frequency (%)
	400964	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	270679	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	21136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11257871	94.2%
Common	692779	5.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1296788	11.5%
e	1104772	9.8%
n	935839	8.3%
r	806044	7.2%
i	784125	7.0%
o	698710	6.2%
t	593900	5.3%
l	567339	5.0%
s	461365	4.1%
d	408191	3.6%
Other values (40)	3600798	32.0%

Common

Value	Count	Frequency (%)
	400964	57.9%
-	270679	39.1%
'	21136	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11950650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1296788	10.9%
e	1104772	9.2%
n	935839	7.8%
r	806044	6.7%
i	784125	6.6%
o	698710	5.8%
t	593900	5.0%
l	567339	4.7%
s	461365	3.9%
d	408191	3.4%
Other values (43)	4293577	35.9%

province
Categorical

HIGH CARDINALITY
MISSING

Distinct	1333
Distinct (%)	0.2%
Missing	340632
Missing (%)	31.4%
Memory size	62.0 MiB

Province of Barcelona	18952
Province of Malaga	10056
Province of Alicante	9137
Province of Naples	8962
Upper Bavaria	8584
Other values (1328)	687074

Length

Max length	43
Median length	17
Mean length	15.90769759
Min length	3

Characters and Unicode

Total characters	11815681
Distinct characters	57
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	125 ?
Unique (%)	< 0.1%

Sample

1st row	Haute-Vienne
2nd row	Haute-Vienne
3rd row	Berry
4th row	Correze
5th row	Aveyron

Common Values

Value	Count	Frequency (%)
Province of Barcelona	18952	1.7%
Province of Malaga	10056	0.9%
Province of Alicante	9137	0.8%
Province of Naples	8962	0.8%
Upper Bavaria	8584	0.8%
Lisbon District	8223	0.8%
French Riviera - Cote d'Azur	8156	0.8%
Province of Turin	7846	0.7%
North Holland Province	7620	0.7%
Province of Valencia	7337	0.7%
Other values (1323)	647892	59.8%
(Missing)	340632	31.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
province	371190	21.7%
of	299513	17.5%
county	49203	2.9%
district	33745	2.0%
region	24735	1.4%
barcelona	18952	1.1%
north	16813	1.0%
south	16341	1.0%
riviera	15840	0.9%
yorkshire	13672	0.8%
Other values (1463)	848979	49.7%

Most occurring characters

Value	Count	Frequency (%)
o	1219746	10.3%
e	1089141	9.2%
	966218	8.2%
r	938288	7.9%
i	916432	7.8%
n	909976	7.7%
a	830518	7.0%
c	550953	4.7%
v	453260	3.8%
P	435671	3.7%
Other values (47)	3505478	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9254671	78.3%
Uppercase Letter	1466596	12.4%
Space Separator	966218	8.2%
Dash Punctuation	114832	1.0%
Other Punctuation	13360	0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1219746	13.2%
e	1089141	11.8%
r	938288	10.1%
i	916432	9.9%
n	909976	9.8%
a	830518	9.0%
c	550953	6.0%
v	453260	4.9%
t	392009	4.2%
f	321533	3.5%
Other values (16)	1632815	17.6%

Uppercase Letter

Value	Count	Frequency (%)
P	435671	29.7%
C	130457	8.9%
S	88680	6.0%
B	83698	5.7%
R	75606	5.2%
L	71353	4.9%
M	64552	4.4%
A	62645	4.3%
D	54253	3.7%
V	51440	3.5%
Other values (16)	348241	23.7%

Space Separator

Value	Count	Frequency (%)
	966218	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	114832	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	13360	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10721267	90.7%
Common	1094414	9.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	1219746	11.4%
e	1089141	10.2%
r	938288	8.8%
i	916432	8.5%
n	909976	8.5%
a	830518	7.7%
c	550953	5.1%
v	453260	4.2%
P	435671	4.1%
t	392009	3.7%
Other values (42)	2985273	27.8%

Common

Value	Count	Frequency (%)
	966218	88.3%
-	114832	10.5%
'	13360	1.2%
(	2	< 0.1%
)	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11815681	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	1219746	10.3%
e	1089141	9.2%
	966218	8.2%
r	938288	7.9%
i	916432	7.8%
n	909976	7.7%
a	830518	7.0%
c	550953	4.7%
v	453260	3.8%
P	435671	3.7%
Other values (47)	3505478	29.7%

city
Categorical

HIGH CARDINALITY
MISSING

Distinct	43495
Distinct (%)	6.4%
Missing	400685
Missing (%)	37.0%
Memory size	55.2 MiB

Paris	18129
Rome	12603
Madrid	12134
Milan	8382
Prague	6035
Other values (43490)	625429

Length

Max length	48
Median length	8
Mean length	9.03642971
Min length	2

Characters and Unicode

Total characters	6169279
Distinct characters	66
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14579 ?
Unique (%)	2.1%

Sample

1st row	Saint-Jouvent
2nd row	Saint-Jouvent
3rd row	Rivarennes
4th row	Lacelle
5th row	Saint-Laurent-de-Levezou

Common Values

Value	Count	Frequency (%)
Paris	18129	1.7%
Rome	12603	1.2%
Madrid	12134	1.1%
Milan	8382	0.8%
Prague	6035	0.6%
Lisbon	5261	0.5%
Vienna	4571	0.4%
Amsterdam	4352	0.4%
Budapest	3557	0.3%
Munich	3508	0.3%
Other values (43485)	604180	55.8%
(Missing)	400685	37.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
paris	18129	2.2%
de	15706	1.9%
rome	12603	1.5%
madrid	12156	1.5%
milan	8382	1.0%
la	7449	0.9%
prague	6035	0.7%
lisbon	5266	0.6%
vienna	4571	0.6%
amsterdam	4352	0.5%
Other values (42902)	733574	88.6%

Most occurring characters

Value	Count	Frequency (%)
e	648027	10.5%
a	564130	9.1%
r	447685	7.3%
n	438152	7.1%
o	387285	6.3%
i	375702	6.1%
l	306983	5.0%
s	297756	4.8%
t	260206	4.2%
u	204480	3.3%
Other values (56)	2238873	36.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5079293	82.3%
Uppercase Letter	850304	13.8%
Space Separator	145515	2.4%
Dash Punctuation	86088	1.4%
Other Punctuation	5413	0.1%
Open Punctuation	1029	< 0.1%
Close Punctuation	1029	< 0.1%
Decimal Number	608	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	648027	12.8%
a	564130	11.1%
r	447685	8.8%
n	438152	8.6%
o	387285	7.6%
i	375702	7.4%
l	306983	6.0%
s	297756	5.9%
t	260206	5.1%
u	204480	4.0%
Other values (16)	1148887	22.6%

Uppercase Letter

Value	Count	Frequency (%)
S	83041	9.8%
M	81543	9.6%
P	72389	8.5%
B	71112	8.4%
L	66710	7.8%
C	64687	7.6%
A	52999	6.2%
R	42362	5.0%
T	34598	4.1%
H	33679	4.0%
Other values (16)	247184	29.1%

Other Punctuation

Value	Count	Frequency (%)
'	4677	86.4%
.	582	10.8%
\	150	2.8%
,	3	0.1%
&	1	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	198	32.6%
2	158	26.0%
1	126	20.7%
3	95	15.6%
9	31	5.1%

Space Separator

Value	Count	Frequency (%)
	145515	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	86088	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1029	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1029	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5929597	96.1%
Common	239682	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	648027	10.9%
a	564130	9.5%
r	447685	7.6%
n	438152	7.4%
o	387285	6.5%
i	375702	6.3%
l	306983	5.2%
s	297756	5.0%
t	260206	4.4%
u	204480	3.4%
Other values (42)	1999191	33.7%

Common

Value	Count	Frequency (%)
	145515	60.7%
-	86088	35.9%
'	4677	2.0%
(	1029	0.4%
)	1029	0.4%
.	582	0.2%
0	198	0.1%
2	158	0.1%
\	150	0.1%
1	126	0.1%
Other values (4)	130	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6169279	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	648027	10.5%
a	564130	9.1%
r	447685	7.3%
n	438152	7.1%
o	387285	6.3%
i	375702	6.1%
l	306983	5.0%
s	297756	4.8%
t	260206	4.2%
u	204480	3.3%
Other values (56)	2238873	36.3%

address
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1034685
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Memory size	112.5 MiB

Greece	92
Tsilivi (Planos) 29100 Greece	29
Brasschaat 2930 Belgium	24
Fira 84700 Greece	23
Sidari 49081 Greece	23
Other values (1034680)	1083206

Length

Max length	382
Median length	47
Mean length	49.73795755
Min length	5

Characters and Unicode

Total characters	53885954
Distinct characters	387
Distinct categories	23 ?
Distinct scripts	7 ?
Distinct blocks	13 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	995486 ?
Unique (%)	91.9%

Sample

1st row	10 Maison Neuve, 87510 Saint-Jouvent France
2nd row	16 Place de l Eglise, 87510 Saint-Jouvent France
3rd row	2 rue des Dames, 36800 Rivarennes France
4th row	9 avenue Porte de la Correze 19170, 19170 Lacelle France
5th row	route du Montseigne, 12620 Saint-Laurent-de-Levezou France

Common Values

Value	Count	Frequency (%)
Greece	92	< 0.1%
Tsilivi (Planos) 29100 Greece	29	< 0.1%
Brasschaat 2930 Belgium	24	< 0.1%
Fira 84700 Greece	23	< 0.1%
Sidari 49081 Greece	23	< 0.1%
Lindos 85107 Greece	22	< 0.1%
Skala 85500 Greece	21	< 0.1%
London England	19	< 0.1%
Pefkohori 63085 Greece	19	< 0.1%
Oia 84702 Greece	19	< 0.1%
Other values (1034675)	1083106	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
italy	224837	2.7%
spain	157642	1.9%
de	156353	1.9%
france	155984	1.9%
via	154056	1.9%
england	144755	1.8%
germany	115368	1.4%
rue	77452	0.9%
calle	63329	0.8%
road	62905	0.8%
Other values (390553)	6942449	84.1%

Most occurring characters

Value	Count	Frequency (%)
	7172662	13.3%
a	4595436	8.5%
e	3928085	7.3%
n	2781382	5.2%
r	2730516	5.1%
i	2325435	4.3%
l	2225854	4.1%
o	2148462	4.0%
t	1877320	3.5%
,	1535166	2.8%
Other values (377)	22565636	41.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31694793	58.8%
Space Separator	7172694	13.3%
Decimal Number	6591218	12.2%
Uppercase Letter	6389813	11.9%
Other Punctuation	1754765	3.3%
Dash Punctuation	272139	0.5%
Other Letter	3230	< 0.1%
Close Punctuation	1827	< 0.1%
Open Punctuation	1819	< 0.1%
Other Symbol	1353	< 0.1%
Other values (13)	2303	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4595436	14.5%
e	3928085	12.4%
n	2781382	8.8%
r	2730516	8.6%
i	2325435	7.3%
l	2225854	7.0%
o	2148462	6.8%
t	1877320	5.9%
s	1332502	4.2%
d	1259565	4.0%
Other values (150)	6490236	20.5%

Uppercase Letter

Value	Count	Frequency (%)
S	727811	11.4%
C	496367	7.8%
P	454929	7.1%
B	406951	6.4%
A	366394	5.7%
G	358728	5.6%
R	342416	5.4%
M	329036	5.1%
L	317771	5.0%
I	311869	4.9%
Other values (107)	2277541	35.6%

Other Punctuation

Value	Count	Frequency (%)
,	1535166	87.5%
.	128766	7.3%
/	50412	2.9%
'	35648	2.0%
&	2870	0.2%
:	836	< 0.1%
#	368	< 0.1%
"	231	< 0.1%
;	132	< 0.1%
\	99	< 0.1%
Other values (11)	237	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	1310960	19.9%
1	1105455	16.8%
2	773861	11.7%
3	645141	9.8%
4	559714	8.5%
5	519944	7.9%
6	447462	6.8%
8	438512	6.7%
7	436993	6.6%
9	353176	5.4%

Nonspacing Mark

Value	Count	Frequency (%)
̈	68	40.0%
́	67	39.4%
̀	14	8.2%
̌	9	5.3%
̃	5	2.9%
̂	3	1.8%
̊	2	1.2%
̧	1	0.6%
̨	1	0.6%

Math Symbol

Value	Count	Frequency (%)
+	291	74.2%
\|	84	21.4%
±	7	1.8%
=	3	0.8%
<	2	0.5%
>	2	0.5%
⁄	2	0.5%
~	1	0.3%

Other Letter

Value	Count	Frequency (%)
º	3136	97.1%
ª	89	2.8%
く	1	< 0.1%
近	1	< 0.1%
ぐ	1	< 0.1%
す	1	< 0.1%
の	1	< 0.1%

Other Symbol

Value	Count	Frequency (%)
°	1277	94.4%
©	38	2.8%
�	21	1.6%
№	11	0.8%
	4	0.3%
®	1	0.1%
¦	1	0.1%

Format

Value	Count	Frequency (%)
	78	43.1%
‎	60	33.1%
	27	14.9%
‬	8	4.4%
‪	4	2.2%
‏	3	1.7%
⁣	1	0.6%

Modifier Symbol

Value	Count	Frequency (%)
´	117	78.5%
`	21	14.1%
¨	7	4.7%
^	2	1.3%
΄	1	0.7%
˚	1	0.7%

Control

Value	Count	Frequency (%)
	11	55.0%
	5	25.0%
	2	10.0%
	1	5.0%
	1	5.0%

Dash Punctuation

Value	Count	Frequency (%)
-	271795	99.9%
–	340	0.1%
‐	3	< 0.1%
—	1	< 0.1%

Other Number

Value	Count	Frequency (%)
³	10	62.5%
⁰	3	18.8%
⁷	2	12.5%
½	1	6.2%

Close Punctuation

Value	Count	Frequency (%)
)	1825	99.9%
}	1	0.1%
]	1	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	1812	99.6%
„	6	0.3%
[	1	0.1%

Final Punctuation

Value	Count	Frequency (%)
’	1235	97.3%
”	25	2.0%
»	9	0.7%

Initial Punctuation

Value	Count	Frequency (%)
“	31	48.4%
‘	24	37.5%
«	9	14.1%

Space Separator

Value	Count	Frequency (%)
	7172662	> 99.9%
	32	< 0.1%

Modifier Letter

Value	Count	Frequency (%)
ʼ	2	50.0%
ᵒ	2	50.0%

Currency Symbol

Value	Count	Frequency (%)
¤	1	50.0%
£	1	50.0%

Letter Number

Value	Count	Frequency (%)
Ⅲ	1	50.0%
Ⅰ	1	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	32	100.0%

Line Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38082428	70.7%
Common	15797943	29.3%
Greek	4994	< 0.1%
Cyrillic	414	< 0.1%
Inherited	170	< 0.1%
Hiragana	4	< 0.1%
Han	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4595436	12.1%
e	3928085	10.3%
n	2781382	7.3%
r	2730516	7.2%
i	2325435	6.1%
l	2225854	5.8%
o	2148462	5.6%
t	1877320	4.9%
s	1332502	3.5%
d	1259565	3.3%
Other values (166)	12877871	33.8%

Common

Value	Count	Frequency (%)
	7172662	45.4%
,	1535166	9.7%
0	1310960	8.3%
1	1105455	7.0%
2	773861	4.9%
3	645141	4.1%
4	559714	3.5%
5	519944	3.3%
6	447462	2.8%
8	438512	2.8%
Other values (80)	1289066	8.2%

Greek

Value	Count	Frequency (%)
α	501	10.0%
ο	434	8.7%
ρ	299	6.0%
υ	266	5.3%
ι	234	4.7%
ν	232	4.6%
λ	192	3.8%
ε	185	3.7%
τ	185	3.7%
ς	161	3.2%
Other values (51)	2305	46.2%

Cyrillic

Value	Count	Frequency (%)
а	45	10.9%
и	33	8.0%
о	31	7.5%
р	30	7.2%
л	28	6.8%
е	23	5.6%
у	20	4.8%
н	17	4.1%
с	17	4.1%
в	17	4.1%
Other values (36)	153	37.0%

Inherited

Value	Count	Frequency (%)
̈	68	40.0%
́	67	39.4%
̀	14	8.2%
̌	9	5.3%
̃	5	2.9%
̂	3	1.8%
̊	2	1.2%
̧	1	0.6%
̨	1	0.6%

Hiragana

Value	Count	Frequency (%)
く	1	25.0%
ぐ	1	25.0%
す	1	25.0%
の	1	25.0%

Han

Value	Count	Frequency (%)
近	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53783852	99.8%
None	99634	0.2%
Punctuation	1834	< 0.1%
Cyrillic	414	< 0.1%
Diacriticals	170	< 0.1%
Specials	25	< 0.1%
Letterlike Symbols	11	< 0.1%
Hiragana	4	< 0.1%
Modifier Letters	3	< 0.1%
Phonetic Ext	2	< 0.1%
Other values (3)	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7172662	13.3%
a	4595436	8.5%
e	3928085	7.3%
n	2781382	5.2%
r	2730516	5.1%
i	2325435	4.3%
l	2225854	4.1%
o	2148462	4.0%
t	1877320	3.5%
,	1535166	2.9%
Other values (86)	22463534	41.8%

None

Value	Count	Frequency (%)
ü	21699	21.8%
é	9424	9.5%
á	6118	6.1%
í	5701	5.7%
ß	5606	5.6%
ä	5169	5.2%
ö	5011	5.0%
ó	4250	4.3%
º	3136	3.1%
à	2817	2.8%
Other values (193)	30703	30.8%

Punctuation

Value	Count	Frequency (%)
’	1235	67.3%
–	340	18.5%
	78	4.3%
‎	60	3.3%
“	31	1.7%
”	25	1.4%
‘	24	1.3%
‬	8	0.4%
•	8	0.4%
„	6	0.3%
Other values (8)	19	1.0%

Diacriticals

Value	Count	Frequency (%)
̈	68	40.0%
́	67	39.4%
̀	14	8.2%
̌	9	5.3%
̃	5	2.9%
̂	3	1.8%
̊	2	1.2%
̧	1	0.6%
̨	1	0.6%

Cyrillic

Value	Count	Frequency (%)
а	45	10.9%
и	33	8.0%
о	31	7.5%
р	30	7.2%
л	28	6.8%
е	23	5.6%
у	20	4.8%
н	17	4.1%
с	17	4.1%
в	17	4.1%
Other values (36)	153	37.0%

Specials

Value	Count	Frequency (%)
�	21	84.0%
	4	16.0%

Letterlike Symbols

Value	Count	Frequency (%)
№	11	100.0%

Modifier Letters

Value	Count	Frequency (%)
ʼ	2	66.7%
˚	1	33.3%

Phonetic Ext

Value	Count	Frequency (%)
ᵒ	2	100.0%

Hiragana

Value	Count	Frequency (%)
く	1	25.0%
ぐ	1	25.0%
す	1	25.0%
の	1	25.0%

Number Forms

Value	Count	Frequency (%)
Ⅲ	1	50.0%
Ⅰ	1	50.0%

Latin Ext Additional

Value	Count	Frequency (%)
ṓ	1	50.0%
ḯ	1	50.0%

CJK

Value	Count	Frequency (%)
近	1	100.0%

latitude
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	857920
Distinct (%)	80.4%
Missing	15790
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	46.56718192

Minimum	27.64031
Maximum	69.94156
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	27.64031
5-th percentile	37.3463932
Q1	41.90986
median	46.5851
Q3	51.4053675
95-th percentile	54.8690489
Maximum	69.94156
Range	42.30125
Interquartile range (IQR)	9.4955075

Descriptive statistics

Standard deviation	5.882611005
Coefficient of variation (CV)	0.1263252523
Kurtosis	-0.06035665257
Mean	46.56718192
Median Absolute Deviation (MAD)	4.73456
Skewness	-0.2063293143
Sum	49715449.38
Variance	34.60511223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.00986	175	< 0.1%
51.12472	140	< 0.1%
45.003227	112	< 0.1%
52.41879	72	< 0.1%
40.429913	54	< 0.1%
55.62955	42	< 0.1%
46.698483	40	< 0.1%
40.09095	37	< 0.1%
41.40035	34	< 0.1%
51.12626	33	< 0.1%
Other values (857910)	1066868	98.5%
(Missing)	15790	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27.64031	1	< 0.1%
27.64053	1	< 0.1%
27.64057	1	< 0.1%
27.640947	1	< 0.1%
27.640959	1	< 0.1%
27.64106	1	< 0.1%
27.64141	1	< 0.1%
27.641466	1	< 0.1%
27.641989	1	< 0.1%
27.699686	1	< 0.1%

Value	Count	Frequency (%)
69.94156	1	< 0.1%
69.926575	1	< 0.1%
69.907166	1	< 0.1%
69.90655	1	< 0.1%
69.89453	1	< 0.1%
69.50826	1	< 0.1%
69.39988	1	< 0.1%
69.399185	1	< 0.1%
69.39917	1	< 0.1%
69.25132	1	< 0.1%

longitude
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	969586
Distinct (%)	90.8%
Missing	15790
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	5.838040356

Minimum	-71.218094
Maximum	33.369423
Zeros	1
Zeros (%)	< 0.1%
Negative	335442
Negative (%)	31.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	-71.218094
5-th percentile	-7.6241437
Q1	-0.8027315
median	5.64653
Q3	12.2376745
95-th percentile	20.9910173
Maximum	33.369423
Range	104.587517
Interquartile range (IQR)	13.040406

Descriptive statistics

Standard deviation	8.639410037
Coefficient of variation (CV)	1.479847605
Kurtosis	-0.2564410915
Mean	5.838040356
Median Absolute Deviation (MAD)	6.529056
Skewness	0.1112689221
Sum	6232732.751
Variance	74.63940579
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28.95707	175	< 0.1%
-2.74	140	< 0.1%
11.083693	112	< 0.1%
-1.247349	72	< 0.1%
-3.669245	52	< 0.1%
9.20105	41	< 0.1%
2.549047	40	< 0.1%
-3.464618	37	< 0.1%
2.159592	34	< 0.1%
-2.740861	33	< 0.1%
Other values (969576)	1066871	98.5%
(Missing)	15790	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-71.218094	1	< 0.1%
-31.265543	1	< 0.1%
-31.263672	1	< 0.1%
-31.26259	1	< 0.1%
-31.261559	1	< 0.1%
-31.256433	1	< 0.1%
-31.255907	1	< 0.1%
-31.209183	1	< 0.1%
-31.186285	1	< 0.1%
-31.17934	1	< 0.1%

Value	Count	Frequency (%)
33.369423	1	< 0.1%
33.28716	1	< 0.1%
30.938726	1	< 0.1%
30.933966	1	< 0.1%
30.92968	1	< 0.1%
30.929373	1	< 0.1%
30.9291	1	< 0.1%
30.91931	1	< 0.1%
30.337452	1	< 0.1%
30.336582	1	< 0.1%

claimed
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	1842
Missing (%)	0.2%
Memory size	67.2 MiB

Unclaimed	607159
Claimed	474396

Length

Max length	9
Median length	9
Mean length	8.122751964
Min length	7

Characters and Unicode

Total characters	8785203
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Claimed
2nd row	Unclaimed
3rd row	Claimed
4th row	Claimed
5th row	Unclaimed

Common Values

Value	Count	Frequency (%)
Unclaimed	607159	56.0%
Claimed	474396	43.8%
(Missing)	1842	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
unclaimed	607159	56.1%
claimed	474396	43.9%

Most occurring characters

Value	Count	Frequency (%)
l	1081555	12.3%
a	1081555	12.3%
i	1081555	12.3%
m	1081555	12.3%
e	1081555	12.3%
d	1081555	12.3%
U	607159	6.9%
n	607159	6.9%
c	607159	6.9%
C	474396	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7703648	87.7%
Uppercase Letter	1081555	12.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	1081555	14.0%
a	1081555	14.0%
i	1081555	14.0%
m	1081555	14.0%
e	1081555	14.0%
d	1081555	14.0%
n	607159	7.9%
c	607159	7.9%

Uppercase Letter

Value	Count	Frequency (%)
U	607159	56.1%
C	474396	43.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8785203	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	1081555	12.3%
a	1081555	12.3%
i	1081555	12.3%
m	1081555	12.3%
e	1081555	12.3%
d	1081555	12.3%
U	607159	6.9%
n	607159	6.9%
c	607159	6.9%
C	474396	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8785203	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	1081555	12.3%
a	1081555	12.3%
i	1081555	12.3%
m	1081555	12.3%
e	1081555	12.3%
d	1081555	12.3%
U	607159	6.9%
n	607159	6.9%
c	607159	6.9%
C	474396	5.4%

awards
Categorical

HIGH CARDINALITY
MISSING

Distinct	917
Distinct (%)	0.3%
Missing	820264
Missing (%)	75.7%
Memory size	67.8 MiB

Travellers' Choice, Certificate of Excellence 2020	20868
Certificate of Excellence 2017	16392
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019	15994
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016	13935
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017	13380
Other values (912)	182564

Length

Max length	380
Median length	94
Mean length	113.6036377
Min length	30

Characters and Unicode

Total characters	29892866
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	156 ?
Unique (%)	0.1%

Sample

1st row	Travellers' Choice, Certificate of Excellence 2020
2nd row	Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017
3rd row	Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016, Certificate of Excellence 2015
4th row	Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016, Certificate of Excellence 2015
5th row	Certificate of Excellence 2018, Certificate of Excellence 2017

Common Values

Value	Count	Frequency (%)
Travellers' Choice, Certificate of Excellence 2020	20868	1.9%
Certificate of Excellence 2017	16392	1.5%
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019	15994	1.5%
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016	13935	1.3%
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017	13380	1.2%
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018	11988	1.1%
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016, Certificate of Excellence 2015	11107	1.0%
Certificate of Excellence 2018	10011	0.9%
Certificate of Excellence 2019	9446	0.9%
Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016, Certificate of Excellence 2015, Certificate of Excellence 2014	8367	0.8%
Other values (907)	131645	12.2%
(Missing)	820264	75.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	824284	22.0%
certificate	824119	22.0%
excellence	824119	22.0%
travellers	147648	3.9%
choice	147648	3.9%
2020	144978	3.9%
2017	142887	3.8%
2019	139995	3.7%
2018	138741	3.7%
2016	107686	2.9%
Other values (38)	306349	8.2%

Most occurring characters

Value	Count	Frequency (%)
e	4638105	15.5%
	3485321	11.7%
c	2664303	8.9%
l	1998943	6.7%
i	1880691	6.3%
t	1694431	5.7%
f	1676984	5.6%
r	1178000	3.9%
o	1056720	3.5%
2	1019844	3.4%
Other values (43)	8599524	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20110514	67.3%
Space Separator	3485321	11.7%
Decimal Number	3384676	11.3%
Uppercase Letter	2017106	6.7%
Other Punctuation	895249	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4638105	23.1%
c	2664303	13.2%
l	1998943	9.9%
i	1880691	9.4%
t	1694431	8.4%
f	1676984	8.3%
r	1178000	5.9%
o	1056720	5.3%
a	1018786	5.1%
n	881107	4.4%
Other values (15)	1422444	7.1%

Uppercase Letter

Value	Count	Frequency (%)
C	976604	48.4%
E	824648	40.9%
T	155142	7.7%
M	31130	1.5%
G	8978	0.4%
P	7162	0.4%
S	6339	0.3%
B	2146	0.1%
O	1672	0.1%
H	1672	0.1%
Other values (2)	1613	0.1%

Decimal Number

Value	Count	Frequency (%)
2	1019844	30.1%
0	991147	29.3%
1	705526	20.8%
7	142887	4.2%
9	139995	4.1%
8	138741	4.1%
6	107686	3.2%
5	66340	2.0%
4	41445	1.2%
3	31065	0.9%

Other Punctuation

Value	Count	Frequency (%)
,	734418	82.0%
'	147648	16.5%
:	10982	1.2%
!	2004	0.2%
.	197	< 0.1%

Space Separator

Value	Count	Frequency (%)
	3485321	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22127620	74.0%
Common	7765246	26.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4638105	21.0%
c	2664303	12.0%
l	1998943	9.0%
i	1880691	8.5%
t	1694431	7.7%
f	1676984	7.6%
r	1178000	5.3%
o	1056720	4.8%
a	1018786	4.6%
C	976604	4.4%
Other values (27)	3344053	15.1%

Common

Value	Count	Frequency (%)
	3485321	44.9%
2	1019844	13.1%
0	991147	12.8%
,	734418	9.5%
1	705526	9.1%
'	147648	1.9%
7	142887	1.8%
9	139995	1.8%
8	138741	1.8%
6	107686	1.4%
Other values (6)	152033	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29892866	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4638105	15.5%
	3485321	11.7%
c	2664303	8.9%
l	1998943	6.7%
i	1880691	6.3%
t	1694431	5.7%
f	1676984	5.6%
r	1178000	3.9%
o	1056720	3.5%
2	1019844	3.4%
Other values (43)	8599524	28.8%

popularity_detailed
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	981409
Distinct (%)	99.3%
Missing	94988
Missing (%)	8.8%
Memory size	89.5 MiB

#7616 of 8661 Restaurants in Barcelona	119
#8393 of 10193 Restaurants in Madrid	99
#4081 of 4632 Restaurants in Prague	90
#5951 of 6682 Restaurants in Milan	89
#15227 of 17023 Restaurants in London	85
Other values (981404)	987927

Length

Max length	73
Median length	34
Mean length	34.86049095
Min length	21

Characters and Unicode

Total characters	34456423
Distinct characters	72
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	977358 ?
Unique (%)	98.9%

Sample

1st row	#1 of 2 Restaurants in Saint-Jouvent
2nd row	#2 of 2 Restaurants in Saint-Jouvent
3rd row	#1 of 1 Restaurant in Rivarennes
4th row	#1 of 1 Restaurant in Lacelle
5th row	#1 of 1 Restaurant in Saint-Laurent-de-Levezou

Common Values

Value	Count	Frequency (%)
#7616 of 8661 Restaurants in Barcelona	119	< 0.1%
#8393 of 10193 Restaurants in Madrid	99	< 0.1%
#4081 of 4632 Restaurants in Prague	90	< 0.1%
#5951 of 6682 Restaurants in Milan	89	< 0.1%
#15227 of 17023 Restaurants in London	85	< 0.1%
#9123 of 10232 Restaurants in Rome	84	< 0.1%
#14004 of 15476 Restaurants in Paris	75	< 0.1%
#715 of 860 Restaurants in Brno	44	< 0.1%
#5233 of 5605 Restaurants in Berlin	43	< 0.1%
#3443 of 3747 Restaurants in Vienna	43	< 0.1%
Other values (981399)	987638	91.2%
(Missing)	94988	8.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
in	990557	15.7%
of	988924	15.7%
restaurants	871237	13.8%
1	122519	1.9%
2	78697	1.2%
3	60245	1.0%
4	49179	0.8%
	42785	0.7%
5	42522	0.7%
tea	40643	0.6%
Other values (74995)	3030689	48.0%

Most occurring characters

Value	Count	Frequency (%)
	5329632	15.5%
a	2784779	8.1%
n	2544946	7.4%
s	2248410	6.5%
t	2204087	6.4%
e	1972740	5.7%
o	1713724	5.0%
i	1615019	4.7%
r	1557113	4.5%
u	1176463	3.4%
Other values (62)	11309510	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20990548	60.9%
Space Separator	5329632	15.5%
Decimal Number	4669826	13.6%
Uppercase Letter	2328022	6.8%
Other Punctuation	1051148	3.1%
Dash Punctuation	85155	0.2%
Open Punctuation	1046	< 0.1%
Close Punctuation	1046	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2784779	13.3%
n	2544946	12.1%
s	2248410	10.7%
t	2204087	10.5%
e	1972740	9.4%
o	1713724	8.2%
i	1615019	7.7%
r	1557113	7.4%
u	1176463	5.6%
f	1125780	5.4%
Other values (16)	2047487	9.8%

Uppercase Letter

Value	Count	Frequency (%)
R	946791	40.7%
C	149806	6.4%
B	148594	6.4%
S	145163	6.2%
M	114316	4.9%
L	103998	4.5%
P	101273	4.4%
T	97016	4.2%
A	75811	3.3%
D	55609	2.4%
Other values (16)	389645	16.7%

Decimal Number

Value	Count	Frequency (%)
1	966862	20.7%
2	637412	13.6%
3	521278	11.2%
4	442525	9.5%
5	404063	8.7%
6	403163	8.6%
7	351050	7.5%
0	331517	7.1%
8	318775	6.8%
9	293181	6.3%

Other Punctuation

Value	Count	Frequency (%)
#	988409	94.0%
&	41881	4.0%
'	10340	1.0%
\	9919	0.9%
.	536	0.1%
/	63	< 0.1%

Space Separator

Value	Count	Frequency (%)
	5329632	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	85155	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1046	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1046	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23318570	67.7%
Common	11137853	32.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2784779	11.9%
n	2544946	10.9%
s	2248410	9.6%
t	2204087	9.5%
e	1972740	8.5%
o	1713724	7.3%
i	1615019	6.9%
r	1557113	6.7%
u	1176463	5.0%
f	1125780	4.8%
Other values (42)	4375509	18.8%

Common

Value	Count	Frequency (%)
	5329632	47.9%
#	988409	8.9%
1	966862	8.7%
2	637412	5.7%
3	521278	4.7%
4	442525	4.0%
5	404063	3.6%
6	403163	3.6%
7	351050	3.2%
0	331517	3.0%
Other values (10)	761942	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34456423	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5329632	15.5%
a	2784779	8.1%
n	2544946	7.4%
s	2248410	6.5%
t	2204087	6.4%
e	1972740	5.7%
o	1713724	5.0%
i	1615019	4.7%
r	1557113	4.5%
u	1176463	3.4%
Other values (62)	11309510	32.8%

popularity_generic
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	981940
Distinct (%)	99.6%
Missing	97792
Missing (%)	9.0%
Memory size	91.4 MiB

#1 of 1 places to eat in Agios Ioannis	6
#1 of 1 places to eat in Weston	5
#1 of 1 places to eat in Clifton	5
#1 of 1 places to eat in Spilia	4
#1 of 1 places to eat in Platanos	4
Other values (981935)	985581

Length

Max length	77
Median length	36
Mean length	37.11203373
Min length	27

Characters and Unicode

Total characters	36577806
Distinct characters	72
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	978351 ?
Unique (%)	99.3%

Sample

1st row	#1 of 2 places to eat in Saint-Jouvent
2nd row	#2 of 2 places to eat in Saint-Jouvent
3rd row	#1 of 1 places to eat in Rivarennes
4th row	#1 of 1 places to eat in Lacelle
5th row	#1 of 1 places to eat in Saint-Laurent-de-Levezou

Common Values

Value	Count	Frequency (%)
#1 of 1 places to eat in Agios Ioannis	6	< 0.1%
#1 of 1 places to eat in Weston	5	< 0.1%
#1 of 1 places to eat in Clifton	5	< 0.1%
#1 of 1 places to eat in Spilia	4	< 0.1%
#1 of 1 places to eat in Platanos	4	< 0.1%
#1 of 1 places to eat in Atalaia	4	< 0.1%
#1 of 1 places to eat in Saint-Symphorien	4	< 0.1%
#1 of 1 places to eat in Saint-Sauveur	4	< 0.1%
#1 of 1 places to eat in Buch	4	< 0.1%
#1 of 1 places to eat in Baron	3	< 0.1%
Other values (981930)	985562	91.0%
(Missing)	97792	9.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
in	987740	12.1%
of	986099	12.1%
places	985605	12.1%
to	985605	12.1%
eat	985605	12.1%
1	80595	1.0%
2	59004	0.7%
3	47147	0.6%
4	40126	0.5%
5	35309	0.4%
Other values (77819)	2947669	36.2%

Most occurring characters

Value	Count	Frequency (%)
	7154943	19.6%
a	2915828	8.0%
e	2845105	7.8%
o	2632821	7.2%
t	2321189	6.3%
n	1647897	4.5%
i	1557690	4.3%
l	1467477	4.0%
s	1375691	3.8%
c	1167162	3.2%
Other values (62)	11492003	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22132755	60.5%
Space Separator	7154943	19.6%
Decimal Number	4970082	13.6%
Uppercase Letter	1236380	3.4%
Other Punctuation	996652	2.7%
Dash Punctuation	84908	0.2%
Open Punctuation	1043	< 0.1%
Close Punctuation	1043	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2915828	13.2%
e	2845105	12.9%
o	2632821	11.9%
t	2321189	10.5%
n	1647897	7.4%
i	1557690	7.0%
l	1467477	6.6%
s	1375691	6.2%
c	1167162	5.3%
p	1056259	4.8%
Other values (16)	3145636	14.2%

Uppercase Letter

Value	Count	Frequency (%)
S	122731	9.9%
B	115878	9.4%
M	112984	9.1%
C	105524	8.5%
L	103689	8.4%
P	99799	8.1%
A	75593	6.1%
T	56243	4.5%
R	54228	4.4%
V	51783	4.2%
Other values (16)	337928	27.3%

Decimal Number

Value	Count	Frequency (%)
1	969273	19.5%
2	694484	14.0%
3	573121	11.5%
4	504651	10.2%
5	429869	8.6%
6	427514	8.6%
8	367854	7.4%
7	356996	7.2%
0	327989	6.6%
9	318331	6.4%

Other Punctuation

Value	Count	Frequency (%)
#	985605	98.9%
'	10315	1.0%
.	536	0.1%
\	133	< 0.1%
/	62	< 0.1%
&	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	7154943	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	84908	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1043	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1043	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23369135	63.9%
Common	13208671	36.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2915828	12.5%
e	2845105	12.2%
o	2632821	11.3%
t	2321189	9.9%
n	1647897	7.1%
i	1557690	6.7%
l	1467477	6.3%
s	1375691	5.9%
c	1167162	5.0%
p	1056259	4.5%
Other values (42)	4382016	18.8%

Common

Value	Count	Frequency (%)
	7154943	54.2%
#	985605	7.5%
1	969273	7.3%
2	694484	5.3%
3	573121	4.3%
4	504651	3.8%
5	429869	3.3%
6	427514	3.2%
8	367854	2.8%
7	356996	2.7%
Other values (10)	744361	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36577806	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7154943	19.6%
a	2915828	8.0%
e	2845105	7.8%
o	2632821	7.2%
t	2321189	6.3%
n	1647897	4.5%
i	1557690	4.3%
l	1467477	4.0%
s	1375691	3.8%
c	1167162	3.2%
Other values (62)	11492003	31.4%

top_tags
Categorical

HIGH CARDINALITY
MISSING

Distinct	39962
Distinct (%)	4.1%
Missing	110634
Missing (%)	10.2%
Memory size	84.0 MiB

Mid-range, French	20211
Mid-range	19422
Cheap Eats	15864
Mid-range, Italian	14363
Italian	14103
Other values (39957)	888800

Length

Max length	75
Median length	32
Mean length	29.9151448
Min length	3

Characters and Unicode

Total characters	29100346
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20177 ?
Unique (%)	2.1%

Sample

1st row	Cheap Eats, French
2nd row	Cheap Eats
3rd row	Cheap Eats, French, European
4th row	Cheap Eats, French
5th row	Mid-range, French

Common Values

Value	Count	Frequency (%)
Mid-range, French	20211	1.9%
Mid-range	19422	1.8%
Cheap Eats	15864	1.5%
Mid-range, Italian	14363	1.3%
Italian	14103	1.3%
Mid-range, Bar, British, Pub	13566	1.3%
Mid-range, Italian, Seafood, Mediterranean	13414	1.2%
Mid-range, Italian, Pizza, Mediterranean	12562	1.2%
Mid-range, Italian, Pizza, Seafood	12099	1.1%
Cafe	10613	1.0%
Other values (39952)	826546	76.3%
(Missing)	110634	10.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mid-range	538207	15.2%
cheap	240351	6.8%
eats	240351	6.8%
italian	236822	6.7%
european	192287	5.4%
mediterranean	155388	4.4%
friendly	133520	3.8%
vegetarian	133520	3.8%
pizza	113259	3.2%
cafe	107793	3.0%
Other values (200)	1456411	41.0%

Most occurring characters

Value	Count	Frequency (%)
a	3345414	11.5%
e	2867306	9.9%
	2575177	8.8%
n	2357873	8.1%
i	2087983	7.2%
,	1994966	6.9%
r	1944584	6.7%
t	1227298	4.2%
d	1021411	3.5%
s	817661	2.8%
Other values (47)	8860673	30.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20485901	70.4%
Uppercase Letter	3495787	12.0%
Space Separator	2575177	8.8%
Other Punctuation	1995467	6.9%
Dash Punctuation	548014	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3345414	16.3%
e	2867306	14.0%
n	2357873	11.5%
i	2087983	10.2%
r	1944584	9.5%
t	1227298	6.0%
d	1021411	5.0%
s	817661	4.0%
g	755010	3.7%
o	657479	3.2%
Other values (16)	3403882	16.6%

Uppercase Letter

Value	Count	Frequency (%)
M	714263	20.4%
E	446913	12.8%
C	417197	11.9%
F	339000	9.7%
I	308315	8.8%
B	259214	7.4%
S	225394	6.4%
P	206005	5.9%
V	155389	4.4%
A	94820	2.7%
Other values (16)	329277	9.4%

Other Punctuation

Value	Count	Frequency (%)
,	1994966	> 99.9%
&	495	< 0.1%
/	6	< 0.1%

Space Separator

Value	Count	Frequency (%)
	2575177	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	548014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23981688	82.4%
Common	5118658	17.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3345414	13.9%
e	2867306	12.0%
n	2357873	9.8%
i	2087983	8.7%
r	1944584	8.1%
t	1227298	5.1%
d	1021411	4.3%
s	817661	3.4%
g	755010	3.1%
M	714263	3.0%
Other values (42)	6842885	28.5%

Common

Value	Count	Frequency (%)
	2575177	50.3%
,	1994966	39.0%
-	548014	10.7%
&	495	< 0.1%
/	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29100346	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3345414	11.5%
e	2867306	9.9%
	2575177	8.8%
n	2357873	8.1%
i	2087983	7.2%
,	1994966	6.9%
r	1944584	6.7%
t	1227298	4.2%
d	1021411	3.5%
s	817661	2.8%
Other values (47)	8860673	30.4%

price_level
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	277205
Missing (%)	25.6%
Memory size	78.3 MiB

€€-€€€	537918
€	240205
€€€€	28069

Length

Max length	6
Median length	6
Mean length	4.440615883
Min length	1

Characters and Unicode

Total characters	3579989
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	€
2nd row	€
3rd row	€
4th row	€
5th row	€€-€€€

Common Values

Value	Count	Frequency (%)
€€-€€€	537918	49.7%
€	240205	22.2%
€€€€	28069	2.6%
(Missing)	277205	25.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
€€-€€€	537918	66.7%
€	240205	29.8%
€€€€	28069	3.5%

Most occurring characters

Value	Count	Frequency (%)
€	3042071	85.0%
-	537918	15.0%

Most occurring categories

Value	Count	Frequency (%)
Currency Symbol	3042071	85.0%
Dash Punctuation	537918	15.0%

Most frequent character per category

Currency Symbol

Value	Count	Frequency (%)
€	3042071	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	537918	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3579989	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
€	3042071	85.0%
-	537918	15.0%

Most occurring blocks

Value	Count	Frequency (%)
Currency Symbols	3042071	85.0%
ASCII	537918	15.0%

Most frequent character per block

Currency Symbols

Value	Count	Frequency (%)
€	3042071	100.0%

ASCII

Value	Count	Frequency (%)
-	537918	100.0%

price_range
Categorical

HIGH CARDINALITY
MISSING

Distinct	7298
Distinct (%)	2.4%
Missing	779070
Missing (%)	71.9%
Memory size	51.2 MiB

€10-€30	5937
€5-€15	5810
€10-€20	5148
€5-€20	4793
€10-€25	4448
Other values (7293)	278191

Length

Max length	25
Median length	6
Mean length	6.417379989
Min length	5

Characters and Unicode

Total characters	1952982
Distinct characters	17
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3478 ?
Unique (%)	1.1%

Sample

1st row	€14-€29
2nd row	€8-€17
3rd row	€10-€35
4th row	€12-€26
5th row	€12-€30

Common Values

Value	Count	Frequency (%)
€10-€30	5937	0.5%
€5-€15	5810	0.5%
€10-€20	5148	0.5%
€5-€20	4793	0.4%
€10-€25	4448	0.4%
€5-€10	3965	0.4%
€15-€30	3735	0.3%
€2-€10	3416	0.3%
€3-€10	3385	0.3%
€5-€25	2682	0.2%
Other values (7288)	261008	24.1%
(Missing)	779070	71.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
€10-€30	5937	1.9%
€5-€15	5810	1.9%
€10-€20	5148	1.6%
€5-€20	4793	1.5%
€10-€25	4448	1.4%
chf	4207	1.3%
€5-€10	3965	1.3%
€15-€30	3735	1.2%
€2-€10	3416	1.1%
€3-€10	3385	1.1%
Other values (6577)	267897	85.7%

Most occurring characters

Value	Count	Frequency (%)
€	600240	30.7%
-	304327	15.6%
1	214923	11.0%
2	171434	8.8%
5	144512	7.4%
0	142594	7.3%
3	103178	5.3%
4	62716	3.2%
6	48522	2.5%
8	46647	2.4%
Other values (7)	113889	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1014069	51.9%
Currency Symbol	600240	30.7%
Dash Punctuation	304327	15.6%
Uppercase Letter	25242	1.3%
Space Separator	8414	0.4%
Other Punctuation	690	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	214923	21.2%
2	171434	16.9%
5	144512	14.3%
0	142594	14.1%
3	103178	10.2%
4	62716	6.2%
6	48522	4.8%
8	46647	4.6%
7	46198	4.6%
9	33345	3.3%

Uppercase Letter

Value	Count	Frequency (%)
C	8414	33.3%
H	8414	33.3%
F	8414	33.3%

Currency Symbol

Value	Count	Frequency (%)
€	600240	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	304327	100.0%

Space Separator

Value	Count	Frequency (%)
	8414	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1927740	98.7%
Latin	25242	1.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
€	600240	31.1%
-	304327	15.8%
1	214923	11.1%
2	171434	8.9%
5	144512	7.5%
0	142594	7.4%
3	103178	5.4%
4	62716	3.3%
6	48522	2.5%
8	46647	2.4%
Other values (4)	88647	4.6%

Latin

Value	Count	Frequency (%)
C	8414	33.3%
H	8414	33.3%
F	8414	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1344328	68.8%
Currency Symbols	600240	30.7%
None	8414	0.4%

Most frequent character per block

Currency Symbols

Value	Count	Frequency (%)
€	600240	100.0%

ASCII

Value	Count	Frequency (%)
-	304327	22.6%
1	214923	16.0%
2	171434	12.8%
5	144512	10.7%
0	142594	10.6%
3	103178	7.7%
4	62716	4.7%
6	48522	3.6%
8	46647	3.5%
7	46198	3.4%
Other values (5)	59277	4.4%

None

Value	Count	Frequency (%)
	8414	100.0%

meals
Categorical

HIGH CARDINALITY
MISSING

Distinct	745
Distinct (%)	0.1%
Missing	448050
Missing (%)	41.4%
Memory size	59.2 MiB

Lunch, Dinner	196123
Dinner	67459
Breakfast, Lunch, Dinner	51749
Lunch, Dinner, After-hours	31493
Dinner, Lunch	27103
Other values (740)	261420

Length

Max length	53
Median length	13
Mean length	18.11040738
Min length	5

Characters and Unicode

Total characters	11506393
Distinct characters	20
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	161 ?
Unique (%)	< 0.1%

Sample

1st row	Lunch, Dinner
2nd row	Dinner, Lunch, Drinks
3rd row	Lunch, Dinner
4th row	Lunch, Dinner
5th row	Lunch, Dinner, Drinks

Common Values

Value	Count	Frequency (%)
Lunch, Dinner	196123	18.1%
Dinner	67459	6.2%
Breakfast, Lunch, Dinner	51749	4.8%
Lunch, Dinner, After-hours	31493	2.9%
Dinner, Lunch	27103	2.5%
Lunch, Dinner, Drinks	23327	2.2%
Lunch	23305	2.2%
Breakfast	13608	1.3%
Breakfast, Lunch	13328	1.2%
Breakfast, Lunch, Brunch	11457	1.1%
Other values (735)	176395	16.3%
(Missing)	448050	41.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dinner	532366	34.7%
lunch	511678	33.3%
breakfast	181695	11.8%
drinks	117450	7.6%
brunch	101571	6.6%
after-hours	91200	5.9%

Most occurring characters

Value	Count	Frequency (%)
n	1795431	15.6%
r	1115482	9.7%
,	900613	7.8%
	900613	7.8%
e	805261	7.0%
u	704449	6.1%
h	704449	6.1%
D	649816	5.6%
i	649816	5.6%
c	613249	5.3%
Other values (10)	2667214	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8078007	70.2%
Uppercase Letter	1535960	13.3%
Other Punctuation	900613	7.8%
Space Separator	900613	7.8%
Dash Punctuation	91200	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1795431	22.2%
r	1115482	13.8%
e	805261	10.0%
u	704449	8.7%
h	704449	8.7%
i	649816	8.0%
c	613249	7.6%
s	390345	4.8%
a	363390	4.5%
k	299145	3.7%
Other values (3)	636990	7.9%

Uppercase Letter

Value	Count	Frequency (%)
D	649816	42.3%
L	511678	33.3%
B	283266	18.4%
A	91200	5.9%

Other Punctuation

Value	Count	Frequency (%)
,	900613	100.0%

Space Separator

Value	Count	Frequency (%)
	900613	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	91200	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9613967	83.6%
Common	1892426	16.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1795431	18.7%
r	1115482	11.6%
e	805261	8.4%
u	704449	7.3%
h	704449	7.3%
D	649816	6.8%
i	649816	6.8%
c	613249	6.4%
L	511678	5.3%
s	390345	4.1%
Other values (7)	1673991	17.4%

Common

Value	Count	Frequency (%)
,	900613	47.6%
	900613	47.6%
-	91200	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11506393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1795431	15.6%
r	1115482	9.7%
,	900613	7.8%
	900613	7.8%
e	805261	7.0%
u	704449	6.1%
h	704449	6.1%
D	649816	5.6%
i	649816	5.6%
c	613249	5.3%
Other values (10)	2667214	23.2%

cuisines
Categorical

HIGH CARDINALITY
MISSING

Distinct	97741
Distinct (%)	10.7%
Missing	169103
Missing (%)	15.6%
Memory size	73.3 MiB

Italian	53243
French	39103
Cafe	35009
Spanish	27339
Italian, Pizza	26998
Other values (97736)	732602

Length

Max length	185
Median length	17
Mean length	21.11882392
Min length	3

Characters and Unicode

Total characters	19308814
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73786 ?
Unique (%)	8.1%

Sample

1st row	French
2nd row	French, European
3rd row	French
4th row	French
5th row	French

Common Values

Value	Count	Frequency (%)
Italian	53243	4.9%
French	39103	3.6%
Cafe	35009	3.2%
Spanish	27339	2.5%
Italian, Pizza	26998	2.5%
French, European	14323	1.3%
Fast food	13803	1.3%
Bar, British, Pub	13703	1.3%
Pizza	13440	1.2%
German	13244	1.2%
Other values (97731)	664089	61.3%
(Missing)	169103	15.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
italian	235823	9.9%
european	234759	9.8%
mediterranean	173020	7.2%
pizza	114070	4.8%
cafe	109188	4.6%
bar	107990	4.5%
french	98480	4.1%
spanish	93191	3.9%
pub	91258	3.8%
seafood	81397	3.4%
Other values (155)	1049222	43.9%

Most occurring characters

Value	Count	Frequency (%)
a	2358346	12.2%
e	1755284	9.1%
n	1688174	8.7%
	1474104	7.6%
,	1318639	6.8%
r	1313379	6.8%
i	1290115	6.7%
t	930201	4.8%
o	771444	4.0%
u	553163	2.9%
Other values (43)	5855965	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14116785	73.1%
Uppercase Letter	2358757	12.2%
Space Separator	1474104	7.6%
Other Punctuation	1319146	6.8%
Dash Punctuation	40022	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2358346	16.7%
e	1755284	12.4%
n	1688174	12.0%
r	1313379	9.3%
i	1290115	9.1%
t	930201	6.6%
o	771444	5.5%
u	553163	3.9%
s	530744	3.8%
l	496678	3.5%
Other values (15)	2429257	17.2%

Uppercase Letter

Value	Count	Frequency (%)
I	339595	14.4%
S	277265	11.8%
E	255737	10.8%
P	242532	10.3%
B	236992	10.0%
C	213756	9.1%
M	196285	8.3%
F	182448	7.7%
A	110350	4.7%
G	104079	4.4%
Other values (14)	199718	8.5%

Other Punctuation

Value	Count	Frequency (%)
,	1318639	> 99.9%
&	507	< 0.1%

Space Separator

Value	Count	Frequency (%)
	1474104	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	40022	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16475542	85.3%
Common	2833272	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2358346	14.3%
e	1755284	10.7%
n	1688174	10.2%
r	1313379	8.0%
i	1290115	7.8%
t	930201	5.6%
o	771444	4.7%
u	553163	3.4%
s	530744	3.2%
l	496678	3.0%
Other values (39)	4788014	29.1%

Common

Value	Count	Frequency (%)
	1474104	52.0%
,	1318639	46.5%
-	40022	1.4%
&	507	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19308814	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2358346	12.2%
e	1755284	9.1%
n	1688174	8.7%
	1474104	7.6%
,	1318639	6.8%
r	1313379	6.8%
i	1290115	6.7%
t	930201	4.8%
o	771444	4.0%
u	553163	2.9%
Other values (43)	5855965	30.3%

special_diets
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	< 0.1%
Missing	743141
Missing (%)	68.6%
Memory size	51.5 MiB

Vegetarian Friendly	156652
Vegetarian Friendly, Vegan Options, Gluten Free Options	71379
Vegetarian Friendly, Vegan Options	49606
Vegetarian Friendly, Gluten Free Options	32205
Gluten Free Options	9898
Other values (63)	20516

Length

Max length	70
Median length	19
Mean length	31.78660773
Min length	5

Characters and Unicode

Total characters	10815584
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	< 0.1%

Sample

1st row	Vegetarian Friendly
2nd row	Vegetarian Friendly
3rd row	Vegetarian Friendly
4th row	Vegetarian Friendly
5th row	Vegetarian Friendly

Common Values

Value	Count	Frequency (%)
Vegetarian Friendly	156652	14.5%
Vegetarian Friendly, Vegan Options, Gluten Free Options	71379	6.6%
Vegetarian Friendly, Vegan Options	49606	4.6%
Vegetarian Friendly, Gluten Free Options	32205	3.0%
Gluten Free Options	9898	0.9%
Vegetarian Friendly, Gluten Free Options, Vegan Options	3875	0.4%
Vegan Options	3660	0.3%
Vegan Options, Vegetarian Friendly	2034	0.2%
Halal	1730	0.2%
Vegetarian Friendly, Vegan Options, Halal, Gluten Free Options	1706	0.2%
Other values (58)	7511	0.7%
(Missing)	743141	68.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vegetarian	324017	24.9%
friendly	324017	24.9%
options	260094	20.0%
vegan	136597	10.5%
gluten	123497	9.5%
free	123497	9.5%
halal	6709	0.5%
kosher	298	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	1479437	13.7%
n	1168222	10.8%
	958470	8.9%
i	908128	8.4%
a	798049	7.4%
r	771829	7.1%
t	707608	6.5%
l	460932	4.3%
V	460614	4.3%
g	460614	4.3%
Other values (13)	2641681	24.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8307526	76.8%
Uppercase Letter	1298726	12.0%
Space Separator	958470	8.9%
Other Punctuation	250862	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1479437	17.8%
n	1168222	14.1%
i	908128	10.9%
a	798049	9.6%
r	771829	9.3%
t	707608	8.5%
l	460932	5.5%
g	460614	5.5%
d	324017	3.9%
y	324017	3.9%
Other values (5)	904673	10.9%

Uppercase Letter

Value	Count	Frequency (%)
V	460614	35.5%
F	447514	34.5%
O	260094	20.0%
G	123497	9.5%
H	6709	0.5%
K	298	< 0.1%

Space Separator

Value	Count	Frequency (%)
	958470	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	250862	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9606252	88.8%
Common	1209332	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1479437	15.4%
n	1168222	12.2%
i	908128	9.5%
a	798049	8.3%
r	771829	8.0%
t	707608	7.4%
l	460932	4.8%
V	460614	4.8%
g	460614	4.8%
F	447514	4.7%
Other values (11)	1943305	20.2%

Common

Value	Count	Frequency (%)
	958470	79.3%
,	250862	20.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10815584	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1479437	13.7%
n	1168222	10.8%
	958470	8.9%
i	908128	8.4%
a	798049	7.4%
r	771829	7.1%
t	707608	6.5%
l	460932	4.3%
V	460614	4.3%
g	460614	4.3%
Other values (13)	2641681	24.4%

features
Categorical

HIGH CARDINALITY
MISSING

Distinct	56453
Distinct (%)	17.8%
Missing	765990
Missing (%)	70.7%
Memory size	61.5 MiB

Reservations	36514
Reservations, Seating, Table Service	15193
Takeout	7290
Reservations, Seating, Serves Alcohol, Table Service	7181
Wheelchair Accessible	5863
Other values (56448)	245366

Length

Max length	588
Median length	52
Mean length	68.95317684
Min length	4

Characters and Unicode

Total characters	21886221
Distinct characters	46
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48360 ?
Unique (%)	15.2%

Sample

1st row	Reservations, Seating, Wheelchair Accessible, Serves Alcohol, Accepts Credit Cards, Table Service
2nd row	Reservations, Seating, Table Service, Wheelchair Accessible
3rd row	Reservations, Seating, Serves Alcohol, Table Service, Wheelchair Accessible
4th row	Reservations, Seating, Wheelchair Accessible, Table Service
5th row	Reservations, Seating, Table Service, Serves Alcohol

Common Values

Value	Count	Frequency (%)
Reservations	36514	3.4%
Reservations, Seating, Table Service	15193	1.4%
Takeout	7290	0.7%
Reservations, Seating, Serves Alcohol, Table Service	7181	0.7%
Wheelchair Accessible	5863	0.5%
Seating	5815	0.5%
Takeout, Wheelchair Accessible	5591	0.5%
Reservations, Seating, Wheelchair Accessible, Table Service	5352	0.5%
Seating, Table Service	5097	0.5%
Reservations, Seating, Wheelchair Accessible, Serves Alcohol, Table Service	4446	0.4%
Other values (56443)	219065	20.2%
(Missing)	765990	70.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
seating	302951	12.0%
reservations	215387	8.5%
table	191467	7.6%
service	191467	7.6%
wheelchair	146385	5.8%
accessible	146385	5.8%
alcohol	129553	5.1%
serves	129553	5.1%
accepts	101329	4.0%
takeout	94983	3.7%
Other values (49)	885559	34.9%

Most occurring characters

Value	Count	Frequency (%)
e	2885400	13.2%
	2217612	10.1%
i	1576833	7.2%
a	1501036	6.9%
r	1241264	5.7%
s	1187791	5.4%
,	1187317	5.4%
l	1092206	5.0%
c	1046080	4.8%
t	976838	4.5%
Other values (36)	6973844	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15987258	73.0%
Uppercase Letter	2479083	11.3%
Space Separator	2217612	10.1%
Other Punctuation	1187317	5.4%
Dash Punctuation	14951	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2885400	18.0%
i	1576833	9.9%
a	1501036	9.4%
r	1241264	7.8%
s	1187791	7.4%
l	1092206	6.8%
c	1046080	6.5%
t	976838	6.1%
o	763497	4.8%
n	700102	4.4%
Other values (13)	3016211	18.9%

Uppercase Letter

Value	Count	Frequency (%)
S	638443	25.8%
A	471242	19.0%
T	304790	12.3%
R	215387	8.7%
W	215063	8.7%
C	128391	5.2%
F	112828	4.6%
B	81191	3.3%
O	81052	3.3%
P	67562	2.7%
Other values (10)	163134	6.6%

Space Separator

Value	Count	Frequency (%)
	2217612	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1187317	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14951	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18466341	84.4%
Common	3419880	15.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2885400	15.6%
i	1576833	8.5%
a	1501036	8.1%
r	1241264	6.7%
s	1187791	6.4%
l	1092206	5.9%
c	1046080	5.7%
t	976838	5.3%
o	763497	4.1%
n	700102	3.8%
Other values (33)	5495294	29.8%

Common

Value	Count	Frequency (%)
	2217612	64.8%
,	1187317	34.7%
-	14951	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21886221	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2885400	13.2%
	2217612	10.1%
i	1576833	7.2%
a	1501036	6.9%
r	1241264	5.7%
s	1187791	5.4%
,	1187317	5.4%
l	1092206	5.0%
c	1046080	4.8%
t	976838	4.5%
Other values (36)	6973844	31.9%

vegetarian_friendly
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

False	759380
True	324017

Common Values
Chart

Value	Count	Frequency (%)
False	759380	70.1%
True	324017	29.9%

vegan_options
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

False	946800
True	136597

Common Values
Chart

Value	Count	Frequency (%)
False	946800	87.4%
True	136597	12.6%

gluten_free
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

False	959900
True	123497

Common Values
Chart

Value	Count	Frequency (%)
False	959900	88.6%
True	123497	11.4%

original_open_hours
Categorical

HIGH CARDINALITY
MISSING

Distinct	237890
Distinct (%)	40.1%
Missing	489565
Missing (%)	45.2%
Memory size	148.5 MiB

{"Mon": ["00:00-23:59"], "Tue": ["00:00-23:59"], "Wed": ["00:00-23:59"], "Thu": ["00:00-23:59"], "Fri": ["00:00-23:59"], "Sat": ["00:00-23:59"], "Sun": ["00:00-23:59"]}	7674
{"Mon": ["11:00-23:00"], "Tue": ["11:00-23:00"], "Wed": ["11:00-23:00"], "Thu": ["11:00-23:00"], "Fri": ["11:00-23:00"], "Sat": ["11:00-23:00"], "Sun": ["11:00-23:00"]}	5303
{"Mon": ["12:00-22:00"], "Tue": ["12:00-22:00"], "Wed": ["12:00-22:00"], "Thu": ["12:00-22:00"], "Fri": ["12:00-22:00"], "Sat": ["12:00-22:00"], "Sun": ["12:00-22:00"]}	4234
{"Mon": ["12:00-23:00"], "Tue": ["12:00-23:00"], "Wed": ["12:00-23:00"], "Thu": ["12:00-23:00"], "Fri": ["12:00-23:00"], "Sat": ["12:00-23:00"], "Sun": ["12:00-23:00"]}	3677
{"Mon": ["12:00-00:00"], "Tue": ["12:00-00:00"], "Wed": ["12:00-00:00"], "Thu": ["12:00-00:00"], "Fri": ["12:00-00:00"], "Sat": ["12:00-00:00"], "Sun": ["12:00-00:00"]}	3673
Other values (237885)	569271

Length

Max length	292
Median length	168
Mean length	178.8071508
Min length	90

Characters and Unicode

Total characters	106181408
Distinct characters	34
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	198640 ?
Unique (%)	33.5%

Sample

1st row	{"Mon": ["09:00-14:30"], "Tue": ["09:00-14:30", "19:00-21:30"], "Wed": ["09:00-14:30", "19:00-21:30"], "Thu": ["09:00-14:30", "19:00-21:30"], "Fri": ["09:00-14:30", "19:00-22:00"], "Sat": ["09:00-14:30", "19:00-22:00"], "Sun": ["09:00-16:00"]}
2nd row	{"Mon": [], "Tue": [], "Wed": ["12:00-14:30", "18:30-22:00"], "Thu": ["12:00-14:30", "18:30-22:00"], "Fri": ["12:00-14:30", "18:30-22:00"], "Sat": ["12:00-14:30", "18:30-22:00"], "Sun": ["12:00-14:30", "18:30-22:00"]}
3rd row	{"Mon": [], "Tue": ["10:00-14:00"], "Wed": ["10:00-14:00"], "Thu": ["10:00-14:00"], "Fri": ["10:00-14:00"], "Sat": ["10:00-14:00"], "Sun": ["10:00-14:00"]}
4th row	{"Mon": [], "Tue": [], "Wed": ["12:00-14:00"], "Thu": ["12:00-14:00"], "Fri": ["12:00-14:00", "19:00-21:00"], "Sat": ["19:00-21:00"], "Sun": ["12:00-14:00", "19:00-21:00"]}
5th row	{"Mon": [], "Tue": ["09:00-16:00"], "Wed": ["09:00-16:00"], "Thu": ["09:00-21:00"], "Fri": ["09:00-21:00"], "Sat": ["16:45-23:45"], "Sun": ["09:00-17:00"]}

Common Values

Value	Count	Frequency (%)
{"Mon": ["00:00-23:59"], "Tue": ["00:00-23:59"], "Wed": ["00:00-23:59"], "Thu": ["00:00-23:59"], "Fri": ["00:00-23:59"], "Sat": ["00:00-23:59"], "Sun": ["00:00-23:59"]}	7674	0.7%
{"Mon": ["11:00-23:00"], "Tue": ["11:00-23:00"], "Wed": ["11:00-23:00"], "Thu": ["11:00-23:00"], "Fri": ["11:00-23:00"], "Sat": ["11:00-23:00"], "Sun": ["11:00-23:00"]}	5303	0.5%
{"Mon": ["12:00-22:00"], "Tue": ["12:00-22:00"], "Wed": ["12:00-22:00"], "Thu": ["12:00-22:00"], "Fri": ["12:00-22:00"], "Sat": ["12:00-22:00"], "Sun": ["12:00-22:00"]}	4234	0.4%
{"Mon": ["12:00-23:00"], "Tue": ["12:00-23:00"], "Wed": ["12:00-23:00"], "Thu": ["12:00-23:00"], "Fri": ["12:00-23:00"], "Sat": ["12:00-23:00"], "Sun": ["12:00-23:00"]}	3677	0.3%
{"Mon": ["12:00-00:00"], "Tue": ["12:00-00:00"], "Wed": ["12:00-00:00"], "Thu": ["12:00-00:00"], "Fri": ["12:00-00:00"], "Sat": ["12:00-00:00"], "Sun": ["12:00-00:00"]}	3673	0.3%
{"Mon": ["11:00-22:00"], "Tue": ["11:00-22:00"], "Wed": ["11:00-22:00"], "Thu": ["11:00-22:00"], "Fri": ["11:00-22:00"], "Sat": ["11:00-22:00"], "Sun": ["11:00-22:00"]}	3299	0.3%
{"Mon": ["10:00-22:00"], "Tue": ["10:00-22:00"], "Wed": ["10:00-22:00"], "Thu": ["10:00-22:00"], "Fri": ["10:00-22:00"], "Sat": ["10:00-22:00"], "Sun": ["10:00-22:00"]}	2632	0.2%
{"Mon": ["11:00-00:00"], "Tue": ["11:00-00:00"], "Wed": ["11:00-00:00"], "Thu": ["11:00-00:00"], "Fri": ["11:00-00:00"], "Sat": ["11:00-00:00"], "Sun": ["11:00-00:00"]}	2405	0.2%
{"Mon": ["09:00-00:00"], "Tue": ["09:00-00:00"], "Wed": ["09:00-00:00"], "Thu": ["09:00-00:00"], "Fri": ["09:00-00:00"], "Sat": ["09:00-00:00"], "Sun": ["09:00-00:00"]}	2329	0.2%
{"Mon": ["09:00-23:00"], "Tue": ["09:00-23:00"], "Wed": ["09:00-23:00"], "Thu": ["09:00-23:00"], "Fri": ["09:00-23:00"], "Sat": ["09:00-23:00"], "Sun": ["09:00-23:00"]}	2184	0.2%
Other values (237880)	556422	51.4%
(Missing)	489565	45.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mon	593832	6.5%
tue	593832	6.5%
wed	593832	6.5%
thu	593832	6.5%
fri	593832	6.5%
sat	593832	6.5%
sun	593832	6.5%
	399601	4.4%
12:00-15:00	111669	1.2%
12:00-14:00	107585	1.2%
Other values (5282)	4312132	47.4%

Most occurring characters

Value	Count	Frequency (%)
0	18744680	17.7%
"	17376420	16.4%
:	13219596	12.5%
	8493979	8.0%
1	5962565	5.6%
-	4531386	4.3%
,	4337155	4.1%
]	4156824	3.9%
[	4156824	3.9%
2	4138667	3.9%
Other values (24)	21063312	19.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36251088	34.1%
Other Punctuation	34933171	32.9%
Space Separator	8493979	8.0%
Lowercase Letter	8313648	7.8%
Close Punctuation	4750656	4.5%
Open Punctuation	4750656	4.5%
Dash Punctuation	4531386	4.3%
Uppercase Letter	4156824	3.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18744680	51.7%
1	5962565	16.4%
2	4138667	11.4%
3	3167626	8.7%
9	1007849	2.8%
8	766051	2.1%
7	716489	2.0%
5	695343	1.9%
4	626401	1.7%
6	425417	1.2%

Lowercase Letter

Value	Count	Frequency (%)
u	1781496	21.4%
n	1187664	14.3%
e	1187664	14.3%
h	593832	7.1%
r	593832	7.1%
i	593832	7.1%
d	593832	7.1%
a	593832	7.1%
t	593832	7.1%
o	593832	7.1%

Uppercase Letter

Value	Count	Frequency (%)
S	1187664	28.6%
T	1187664	28.6%
F	593832	14.3%
W	593832	14.3%
M	593832	14.3%

Other Punctuation

Value	Count	Frequency (%)
"	17376420	49.7%
:	13219596	37.8%
,	4337155	12.4%

Close Punctuation

Value	Count	Frequency (%)
]	4156824	87.5%
}	593832	12.5%

Open Punctuation

Value	Count	Frequency (%)
[	4156824	87.5%
{	593832	12.5%

Space Separator

Value	Count	Frequency (%)
	8493979	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4531386	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	93710936	88.3%
Latin	12470472	11.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18744680	20.0%
"	17376420	18.5%
:	13219596	14.1%
	8493979	9.1%
1	5962565	6.4%
-	4531386	4.8%
,	4337155	4.6%
]	4156824	4.4%
[	4156824	4.4%
2	4138667	4.4%
Other values (9)	8592840	9.2%

Latin

Value	Count	Frequency (%)
u	1781496	14.3%
S	1187664	9.5%
n	1187664	9.5%
T	1187664	9.5%
e	1187664	9.5%
h	593832	4.8%
F	593832	4.8%
r	593832	4.8%
i	593832	4.8%
d	593832	4.8%
Other values (5)	2969160	23.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	106181408	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18744680	17.7%
"	17376420	16.4%
:	13219596	12.5%
	8493979	8.0%
1	5962565	5.6%
-	4531386	4.3%
,	4337155	4.1%
]	4156824	3.9%
[	4156824	3.9%
2	4138667	3.9%
Other values (24)	21063312	19.8%

open_days_per_week
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	489565
Missing (%)	45.2%
Infinite	0
Infinite (%)	0.0%
Mean	6.327080723

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	6
median	7
Q3	7
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9667343474
Coefficient of variation (CV)	0.152793111
Kurtosis	6.671706407
Mean	6.327080723
Median Absolute Deviation (MAD)	0
Skewness	-2.178990536
Sum	3757223
Variance	0.9345752985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
7	323729	29.9%
6	187868	17.3%
5	58202	5.4%
4	10127	0.9%
3	7406	0.7%
2	3676	0.3%
1	2824	0.3%
(Missing)	489565	45.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2824	0.3%
2	3676	0.3%
3	7406	0.7%
4	10127	0.9%
5	58202	5.4%
6	187868	17.3%
7	323729	29.9%

Value	Count	Frequency (%)
7	323729	29.9%
6	187868	17.3%
5	58202	5.4%
4	10127	0.9%
3	7406	0.7%
2	3676	0.3%
1	2824	0.3%

open_hours_per_week
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3105
Distinct (%)	0.5%
Missing	489565
Missing (%)	45.2%
Infinite	0
Infinite (%)	0.0%
Mean	62.02328217

Minimum	0
Maximum	168
Zeros	1479
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	20
Q1	39
median	58.5
Q3	81.5
95-th percentile	113.5
Maximum	168
Range	168
Interquartile range (IQR)	42.5

Descriptive statistics

Standard deviation	30.53813355
Coefficient of variation (CV)	0.4923656485
Kurtosis	0.8317549838
Mean	62.02328217
Median Absolute Deviation (MAD)	20.5
Skewness	0.7457016458
Sum	36831409.7
Variance	932.5776009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
84	19158	1.8%
42	15362	1.4%
77	12486	1.2%
70	12228	1.1%
56	10711	1.0%
63	10552	1.0%
30	9960	0.9%
36	9705	0.9%
91	9150	0.8%
49	9132	0.8%
Other values (3095)	475388	43.9%
(Missing)	489565	45.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1479	0.1%
0.01666666667	5	< 0.1%
0.03333333333	1	< 0.1%
0.1166666667	3	< 0.1%
0.1666666667	1	< 0.1%
0.2333333333	3	< 0.1%
0.25	443	< 0.1%
0.5	75	< 0.1%
0.5833333333	1	< 0.1%
0.6666666667	1	< 0.1%

Value	Count	Frequency (%)
168	5	< 0.1%
167.9	1	< 0.1%
167.8833333	7703	0.7%
167.7666667	21	< 0.1%
167.65	5	< 0.1%
167.5	1	< 0.1%
167.4166667	1	< 0.1%
167.4	3	< 0.1%
167.1833333	2	< 0.1%
167.0666667	1	< 0.1%

working_shifts_per_week
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	< 0.1%
Missing	489565
Missing (%)	45.2%
Infinite	0
Infinite (%)	0.0%
Mean	7.630754153

Minimum	1
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	6
median	7
Q3	7
95-th percentile	14
Maximum	15
Range	14
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	2.550127909
Coefficient of variation (CV)	0.3341908096
Kurtosis	0.7213945519
Mean	7.630754153
Median Absolute Deviation (MAD)	1
Skewness	1.050544374
Sum	4531386
Variance	6.50315235
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
7	269200	24.8%
6	120076	11.1%
5	39570	3.7%
12	37983	3.5%
14	30482	2.8%
11	22390	2.1%
10	19618	1.8%
13	11757	1.1%
8	11331	1.0%
9	10837	1.0%
Other values (5)	20588	1.9%
(Missing)	489565	45.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2751	0.3%
2	3417	0.3%
3	6051	0.6%
4	8239	0.8%
5	39570	3.7%
6	120076	11.1%
7	269200	24.8%
8	11331	1.0%
9	10837	1.0%
10	19618	1.8%

Value	Count	Frequency (%)
15	130	< 0.1%
14	30482	2.8%
13	11757	1.1%
12	37983	3.5%
11	22390	2.1%
10	19618	1.8%
9	10837	1.0%
8	11331	1.0%
7	269200	24.8%
6	120076	11.1%

avg_rating
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	96636
Missing (%)	8.9%
Infinite	0
Infinite (%)	0.0%
Mean	4.035942847

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	2.5
Q1	3.5
median	4
Q3	4.5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.713694003
Coefficient of variation (CV)	0.1768345167
Kurtosis	2.071824575
Mean	4.035942847
Median Absolute Deviation (MAD)	0.5
Skewness	-1.13780692
Sum	3982511
Variance	0.5093591299
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	296979	27.4%
4.5	293794	27.1%
3.5	147287	13.6%
5	128107	11.8%
3	70326	6.5%
2.5	26565	2.5%
2	13456	1.2%
1	6381	0.6%
1.5	3866	0.4%
(Missing)	96636	8.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6381	0.6%
1.5	3866	0.4%
2	13456	1.2%
2.5	26565	2.5%
3	70326	6.5%
3.5	147287	13.6%
4	296979	27.4%
4.5	293794	27.1%
5	128107	11.8%

Value	Count	Frequency (%)
5	128107	11.8%
4.5	293794	27.1%
4	296979	27.4%
3.5	147287	13.6%
3	70326	6.5%
2.5	26565	2.5%
2	13456	1.2%
1.5	3866	0.4%
1	6381	0.6%

total_reviews_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	3363
Distinct (%)	0.3%
Missing	52235
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	102.8889893

Minimum	0
Maximum	52404
Zeros	44149
Zeros (%)	4.1%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	24
Q3	93
95-th percentile	459
Maximum	52404
Range	52404
Interquartile range (IQR)	87

Descriptive statistics

Standard deviation	267.2414795
Coefficient of variation (CV)	2.597376855
Kurtosis	2604.571173
Mean	102.8889893
Median Absolute Deviation (MAD)	22
Skewness	25.28240244
Sum	106095216
Variance	71418.00837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	61914	5.7%
2	46078	4.3%
0	44149	4.1%
3	37374	3.4%
4	32204	3.0%
5	28324	2.6%
6	25174	2.3%
7	22880	2.1%
8	20737	1.9%
9	18983	1.8%
Other values (3353)	693345	64.0%
(Missing)	52235	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	44149	4.1%
1	61914	5.7%
2	46078	4.3%
3	37374	3.4%
4	32204	3.0%
5	28324	2.6%
6	25174	2.3%
7	22880	2.1%
8	20737	1.9%
9	18983	1.8%

Value	Count	Frequency (%)
52404	1	< 0.1%
33731	1	< 0.1%
31144	1	< 0.1%
30142	1	< 0.1%
29273	1	< 0.1%
24671	1	< 0.1%
22364	1	< 0.1%
19856	1	< 0.1%
19167	1	< 0.1%
18971	1	< 0.1%

default_language
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	95193
Missing (%)	8.8%
Memory size	64.9 MiB

English	689754
All languages	298450

Length

Max length	13
Median length	7
Mean length	8.81207524
Min length	7

Characters and Unicode

Total characters	8708128
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	English
2nd row	All languages
3rd row	English
4th row	English
5th row	All languages

Common Values

Value	Count	Frequency (%)
English	689754	63.7%
All languages	298450	27.5%
(Missing)	95193	8.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
english	689754	53.6%
all	298450	23.2%
languages	298450	23.2%

Most occurring characters

Value	Count	Frequency (%)
l	1585104	18.2%
g	1286654	14.8%
n	988204	11.3%
s	988204	11.3%
E	689754	7.9%
i	689754	7.9%
h	689754	7.9%
a	596900	6.9%
A	298450	3.4%
	298450	3.4%
Other values (2)	596900	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7421474	85.2%
Uppercase Letter	988204	11.3%
Space Separator	298450	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	1585104	21.4%
g	1286654	17.3%
n	988204	13.3%
s	988204	13.3%
i	689754	9.3%
h	689754	9.3%
a	596900	8.0%
u	298450	4.0%
e	298450	4.0%

Uppercase Letter

Value	Count	Frequency (%)
E	689754	69.8%
A	298450	30.2%

Space Separator

Value	Count	Frequency (%)
	298450	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8409678	96.6%
Common	298450	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	1585104	18.8%
g	1286654	15.3%
n	988204	11.8%
s	988204	11.8%
E	689754	8.2%
i	689754	8.2%
h	689754	8.2%
a	596900	7.1%
A	298450	3.5%
u	298450	3.5%

Common

Value	Count	Frequency (%)
	298450	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8708128	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	1585104	18.2%
g	1286654	14.8%
n	988204	11.3%
s	988204	11.3%
E	689754	7.9%
i	689754	7.9%
h	689754	7.9%
a	596900	6.9%
A	298450	3.4%
	298450	3.4%
Other values (2)	596900	6.9%

reviews_count_in_default_language
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2415
Distinct (%)	0.2%
Missing	95193
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	44.56341504

Minimum	1
Maximum	15229
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	7
Q3	26
95-th percentile	205
Maximum	15229
Range	15228
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	148.7281789
Coefficient of variation (CV)	3.337450209
Kurtosis	586.0725255
Mean	44.56341504
Median Absolute Deviation (MAD)	6
Skewness	14.3963658
Sum	44037745
Variance	22120.07119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	173914	16.1%
2	101830	9.4%
3	70931	6.5%
4	54144	5.0%
5	43513	4.0%
6	35727	3.3%
7	30477	2.8%
8	26086	2.4%
9	22586	2.1%
10	20019	1.8%
Other values (2405)	408977	37.7%
(Missing)	95193	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	173914	16.1%
2	101830	9.4%
3	70931	6.5%
4	54144	5.0%
5	43513	4.0%
6	35727	3.3%
7	30477	2.8%
8	26086	2.4%
9	22586	2.1%
10	20019	1.8%

Value	Count	Frequency (%)
15229	1	< 0.1%
14717	1	< 0.1%
13716	1	< 0.1%
11997	1	< 0.1%
9239	1	< 0.1%
8845	1	< 0.1%
8576	1	< 0.1%
8458	1	< 0.1%
8337	1	< 0.1%
8224	1	< 0.1%

excellent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	1708
Distinct (%)	0.2%
Missing	95193
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	24.65343998

Minimum	0
Maximum	9383
Zeros	146592
Zeros (%)	13.5%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	13
95-th percentile	113
Maximum	9383
Range	9383
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	89.85080105
Coefficient of variation (CV)	3.644554315
Kurtosis	541.9635977
Mean	24.65343998
Median Absolute Deviation (MAD)	3
Skewness	14.78952065
Sum	24362628
Variance	8073.16645
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	186991	17.3%
0	146592	13.5%
2	102840	9.5%
3	68452	6.3%
4	50414	4.7%
5	39200	3.6%
6	31461	2.9%
7	25848	2.4%
8	21891	2.0%
9	18898	1.7%
Other values (1698)	295617	27.3%
(Missing)	95193	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	146592	13.5%
1	186991	17.3%
2	102840	9.5%
3	68452	6.3%
4	50414	4.7%
5	39200	3.6%
6	31461	2.9%
7	25848	2.4%
8	21891	2.0%
9	18898	1.7%

Value	Count	Frequency (%)
9383	1	< 0.1%
7558	1	< 0.1%
7282	1	< 0.1%
6813	1	< 0.1%
5369	1	< 0.1%
5110	1	< 0.1%
4912	1	< 0.1%
4841	1	< 0.1%
4790	1	< 0.1%
4767	1	< 0.1%

very_good
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	832
Distinct (%)	0.1%
Missing	95193
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	10.49051613

Minimum	0
Maximum	4091
Zeros	278879
Zeros (%)	25.7%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	48
Maximum	4091
Range	4091
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	35.51225601
Coefficient of variation (CV)	3.385177199
Kurtosis	734.0962925
Mean	10.49051613
Median Absolute Deviation (MAD)	2
Skewness	15.87200946
Sum	10366770
Variance	1261.120327
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	278879	25.7%
1	199272	18.4%
2	100393	9.3%
3	63244	5.8%
4	44246	4.1%
5	33394	3.1%
6	26120	2.4%
7	20995	1.9%
8	17244	1.6%
9	14702	1.4%
Other values (822)	189715	17.5%
(Missing)	95193	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	278879	25.7%
1	199272	18.4%
2	100393	9.3%
3	63244	5.8%
4	44246	4.1%
5	33394	3.1%
6	26120	2.4%
7	20995	1.9%
8	17244	1.6%
9	14702	1.4%

Value	Count	Frequency (%)
4091	1	< 0.1%
3503	1	< 0.1%
3483	1	< 0.1%
2964	1	< 0.1%
2531	1	< 0.1%
2487	1	< 0.1%
2377	1	< 0.1%
2247	1	< 0.1%
2016	1	< 0.1%
1940	1	< 0.1%

average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	458
Distinct (%)	< 0.1%
Missing	95193
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.10930233

Minimum	0
Maximum	2132
Zeros	493840
Zeros (%)	45.6%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	19
Maximum	2132
Range	2132
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	15.66963091
Coefficient of variation (CV)	3.813209555
Kurtosis	1413.191175
Mean	4.10930233
Median Absolute Deviation (MAD)	1
Skewness	21.42675175
Sum	4060829
Variance	245.5373328
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	493840	45.6%
1	178020	16.4%
2	78321	7.2%
3	45446	4.2%
4	30200	2.8%
5	21577	2.0%
6	16526	1.5%
7	13032	1.2%
8	10435	1.0%
9	8992	0.8%
Other values (448)	91815	8.5%
(Missing)	95193	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	493840	45.6%
1	178020	16.4%
2	78321	7.2%
3	45446	4.2%
4	30200	2.8%
5	21577	2.0%
6	16526	1.5%
7	13032	1.2%
8	10435	1.0%
9	8992	0.8%

Value	Count	Frequency (%)
2132	1	< 0.1%
2109	1	< 0.1%
1682	1	< 0.1%
1514	1	< 0.1%
1332	1	< 0.1%
1322	1	< 0.1%
1245	1	< 0.1%
1103	1	< 0.1%
1087	1	< 0.1%
1023	1	< 0.1%

poor
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	305
Distinct (%)	< 0.1%
Missing	95193
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	2.355306192

Minimum	0
Maximum	1253
Zeros	614652
Zeros (%)	56.7%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	11
Maximum	1253
Range	1253
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	9.352756334
Coefficient of variation (CV)	3.970930135
Kurtosis	1078.095036
Mean	2.355306192
Median Absolute Deviation (MAD)	0
Skewness	18.43930313
Sum	2327523
Variance	87.47405105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	614652	56.7%
1	147712	13.6%
2	61499	5.7%
3	34639	3.2%
4	22862	2.1%
5	16294	1.5%
6	11895	1.1%
7	9247	0.9%
8	7596	0.7%
9	6274	0.6%
Other values (295)	55534	5.1%
(Missing)	95193	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	614652	56.7%
1	147712	13.6%
2	61499	5.7%
3	34639	3.2%
4	22862	2.1%
5	16294	1.5%
6	11895	1.1%
7	9247	0.9%
8	7596	0.7%
9	6274	0.6%

Value	Count	Frequency (%)
1253	1	< 0.1%
1058	1	< 0.1%
991	1	< 0.1%
975	1	< 0.1%
856	1	< 0.1%
666	1	< 0.1%
594	1	< 0.1%
525	1	< 0.1%
516	1	< 0.1%
506	1	< 0.1%

terrible
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	353
Distinct (%)	< 0.1%
Missing	95193
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	2.954850416

Minimum	0
Maximum	1215
Zeros	573943
Zeros (%)	53.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	14
Maximum	1215
Range	1215
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	11.03006882
Coefficient of variation (CV)	3.732868764
Kurtosis	619.1381812
Mean	2.954850416
Median Absolute Deviation (MAD)	0
Skewness	15.37001589
Sum	2919995
Variance	121.6624181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	573943	53.0%
1	149446	13.8%
2	65255	6.0%
3	39030	3.6%
4	26198	2.4%
5	18811	1.7%
6	14642	1.4%
7	11719	1.1%
8	9503	0.9%
9	7903	0.7%
Other values (343)	71754	6.6%
(Missing)	95193	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	573943	53.0%
1	149446	13.8%
2	65255	6.0%
3	39030	3.6%
4	26198	2.4%
5	18811	1.7%
6	14642	1.4%
7	11719	1.1%
8	9503	0.9%
9	7903	0.7%

Value	Count	Frequency (%)
1215	1	< 0.1%
1059	1	< 0.1%
948	1	< 0.1%
932	1	< 0.1%
725	1	< 0.1%
631	1	< 0.1%
611	1	< 0.1%
592	1	< 0.1%
590	1	< 0.1%
589	1	< 0.1%

food
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	484072
Missing (%)	44.7%
Infinite	0
Infinite (%)	0.0%
Mean	4.104178868

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	4
Q3	4.5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.5642075197
Coefficient of variation (CV)	0.1374714743
Kurtosis	1.385907272
Mean	4.104178868
Median Absolute Deviation (MAD)	0.5
Skewness	-0.9138337666
Sum	2459737
Variance	0.3183301253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4.5	221346	20.4%
4	197437	18.2%
3.5	87173	8.0%
5	49108	4.5%
3	30317	2.8%
2.5	9843	0.9%
2	3251	0.3%
1.5	752	0.1%
1	98	< 0.1%
(Missing)	484072	44.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	98	< 0.1%
1.5	752	0.1%
2	3251	0.3%
2.5	9843	0.9%
3	30317	2.8%
3.5	87173	8.0%
4	197437	18.2%
4.5	221346	20.4%
5	49108	4.5%

Value	Count	Frequency (%)
5	49108	4.5%
4.5	221346	20.4%
4	197437	18.2%
3.5	87173	8.0%
3	30317	2.8%
2.5	9843	0.9%
2	3251	0.3%
1.5	752	0.1%
1	98	< 0.1%

service
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	479110
Missing (%)	44.2%
Infinite	0
Infinite (%)	0.0%
Mean	4.067245365

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	4
Q3	4.5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.5812667001
Coefficient of variation (CV)	0.1429140973
Kurtosis	1.198465749
Mean	4.067245365
Median Absolute Deviation (MAD)	0.5
Skewness	-0.8357308358
Sum	2457783.5
Variance	0.3378709766
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	202956	18.7%
4.5	202637	18.7%
3.5	98240	9.1%
5	49937	4.6%
3	34711	3.2%
2.5	10904	1.0%
2	3771	0.3%
1.5	1004	0.1%
1	127	< 0.1%
(Missing)	479110	44.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	127	< 0.1%
1.5	1004	0.1%
2	3771	0.3%
2.5	10904	1.0%
3	34711	3.2%
3.5	98240	9.1%
4	202956	18.7%
4.5	202637	18.7%
5	49937	4.6%

Value	Count	Frequency (%)
5	49937	4.6%
4.5	202637	18.7%
4	202956	18.7%
3.5	98240	9.1%
3	34711	3.2%
2.5	10904	1.0%
2	3771	0.3%
1.5	1004	0.1%
1	127	< 0.1%

value
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	480705
Missing (%)	44.4%
Infinite	0
Infinite (%)	0.0%
Mean	3.982896737

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3.5
median	4
Q3	4.5
95-th percentile	5
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5776048366
Coefficient of variation (CV)	0.1450212935
Kurtosis	1.050370969
Mean	3.982896737
Median Absolute Deviation (MAD)	0.5
Skewness	-0.7419397672
Sum	2400460
Variance	0.3336273473
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	217858	20.1%
4.5	172698	15.9%
3.5	118325	10.9%
3	41754	3.9%
5	34268	3.2%
2.5	12564	1.2%
2	3995	0.4%
1.5	1035	0.1%
1	195	< 0.1%
(Missing)	480705	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	195	< 0.1%
1.5	1035	0.1%
2	3995	0.4%
2.5	12564	1.2%
3	41754	3.9%
3.5	118325	10.9%
4	217858	20.1%
4.5	172698	15.9%
5	34268	3.2%

Value	Count	Frequency (%)
5	34268	3.2%
4.5	172698	15.9%
4	217858	20.1%
3.5	118325	10.9%
3	41754	3.9%
2.5	12564	1.2%
2	3995	0.4%
1.5	1035	0.1%
1	195	< 0.1%

atmosphere
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	821612
Missing (%)	75.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.93368222

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.3 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3.5
median	4
Q3	4.5
95-th percentile	4.5
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5552619671
Coefficient of variation (CV)	0.1411557762
Kurtosis	0.9718204601
Mean	3.93368222
Median Absolute Deviation (MAD)	0.5
Skewness	-0.7228480256
Sum	1029779
Variance	0.3083158521
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	99726	9.2%
4.5	69508	6.4%
3.5	56092	5.2%
3	20329	1.9%
5	8686	0.8%
2.5	5439	0.5%
2	1554	0.1%
1.5	387	< 0.1%
1	64	< 0.1%
(Missing)	821612	75.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	64	< 0.1%
1.5	387	< 0.1%
2	1554	0.1%
2.5	5439	0.5%
3	20329	1.9%
3.5	56092	5.2%
4	99726	9.2%
4.5	69508	6.4%
5	8686	0.8%

Value	Count	Frequency (%)
5	8686	0.8%
4.5	69508	6.4%
4	99726	9.2%
3.5	56092	5.2%
3	20329	1.9%
2.5	5439	0.5%
2	1554	0.1%
1.5	387	< 0.1%
1	64	< 0.1%

keywords
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	99001
Distinct (%)	99.8%
Missing	984199
Missing (%)	90.8%
Memory size	40.7 MiB

steak, onion loaf, lettuce wedge, chateaubriand, t bone	7
curry, poppadoms, rice, lamb, best indian	6
curry, poppadoms, rice, lamb, prawns	6
curry, rice, naan, lamb, prawns	5
curry, poppadoms, chicken, indian food, best indian	5
Other values (98996)	99169

Length

Max length	125
Median length	54
Mean length	55.35753745
Min length	25

Characters and Unicode

Total characters	5491357
Distinct characters	42
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	98859 ?
Unique (%)	99.7%

Sample

1st row	pizza, tartiflette, fondue, service was excellent, chef
2nd row	tuna, fish, tapas, vineyard, region
3rd row	visited cafe, food was fantastic, both occasions, mascarpone, courses
4th row	pates, apple tart, main course, wine list, set menu
5th row	lunch, large trees, fantastic value, courses, euros

Common Values

Value	Count	Frequency (%)
steak, onion loaf, lettuce wedge, chateaubriand, t bone	7	< 0.1%
curry, poppadoms, rice, lamb, best indian	6	< 0.1%
curry, poppadoms, rice, lamb, prawns	6	< 0.1%
curry, rice, naan, lamb, prawns	5	< 0.1%
curry, poppadoms, chicken, indian food, best indian	5	< 0.1%
curry, poppadoms, rice, lamb, bread	5	< 0.1%
curry, poppadoms, rice, onion bhaji, lamb	5	< 0.1%
curry, poppadoms, chicken, onion bhaji, best indian	5	< 0.1%
curry, poppadoms, onion bhaji, rice, lamb	4	< 0.1%
steak, onion loaf, lettuce wedge, chateaubriand, calamari	4	< 0.1%
Other values (98991)	99146	9.2%
(Missing)	984199	90.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
food	18167	2.3%
steak	13671	1.7%
salad	13237	1.7%
and	11514	1.4%
fish	11263	1.4%
chicken	10558	1.3%
great	10258	1.3%
bread	9867	1.2%
burger	9278	1.2%
pizza	9135	1.1%
Other values (14991)	679867	85.3%

Most occurring characters

Value	Count	Frequency (%)
	697617	12.7%
e	488399	8.9%
a	469944	8.6%
,	396792	7.2%
s	350816	6.4%
i	294897	5.4%
r	293001	5.3%
t	270768	4.9%
o	266317	4.8%
n	239836	4.4%
Other values (32)	1722970	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4396492	80.1%
Space Separator	697617	12.7%
Other Punctuation	397202	7.2%
Decimal Number	46	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	488399	11.1%
a	469944	10.7%
s	350816	8.0%
i	294897	6.7%
r	293001	6.7%
t	270768	6.2%
o	266317	6.1%
n	239836	5.5%
c	217262	4.9%
l	198060	4.5%
Other values (19)	1307192	29.7%

Decimal Number

Value	Count	Frequency (%)
2	8	17.4%
5	6	13.0%
1	6	13.0%
9	5	10.9%
3	5	10.9%
8	4	8.7%
0	4	8.7%
6	3	6.5%
7	3	6.5%
4	2	4.3%

Other Punctuation

Value	Count	Frequency (%)
,	396792	99.9%
'	410	0.1%

Space Separator

Value	Count	Frequency (%)
	697617	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4396492	80.1%
Common	1094865	19.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	488399	11.1%
a	469944	10.7%
s	350816	8.0%
i	294897	6.7%
r	293001	6.7%
t	270768	6.2%
o	266317	6.1%
n	239836	5.5%
c	217262	4.9%
l	198060	4.5%
Other values (19)	1307192	29.7%

Common

Value	Count	Frequency (%)
	697617	63.7%
,	396792	36.2%
'	410	< 0.1%
2	8	< 0.1%
5	6	< 0.1%
1	6	< 0.1%
9	5	< 0.1%
3	5	< 0.1%
8	4	< 0.1%
0	4	< 0.1%
Other values (3)	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5490861	> 99.9%
None	496	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	697617	12.7%
e	488399	8.9%
a	469944	8.6%
,	396792	7.2%
s	350816	6.4%
i	294897	5.4%
r	293001	5.3%
t	270768	4.9%
o	266317	4.9%
n	239836	4.4%
Other values (29)	1722474	31.4%

None

Value	Count	Frequency (%)
é	271	54.6%
û	215	43.3%
â	10	2.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	restaurant_link	restaurant_name	original_location	country	region	province	city	address	latitude	longitude	claimed	awards	popularity_detailed	popularity_generic	top_tags	price_level	price_range	meals	cuisines	special_diets	features	vegetarian_friendly	vegan_options	gluten_free	original_open_hours	open_days_per_week	open_hours_per_week	working_shifts_per_week	avg_rating	total_reviews_count	default_language	reviews_count_in_default_language	excellent	very_good	average	poor	terrible	food	service	value	atmosphere	keywords
0	g10001637-d10002227	Le 147	["Europe", "France", "Nouvelle-Aquitaine", "Haute-Vienne", "Saint-Jouvent"]	France	Nouvelle-Aquitaine	Haute-Vienne	Saint-Jouvent	10 Maison Neuve, 87510 Saint-Jouvent France	45.961674	1.169131	Claimed	NaN	#1 of 2 Restaurants in Saint-Jouvent	#1 of 2 places to eat in Saint-Jouvent	Cheap Eats, French	€	NaN	Lunch, Dinner	French	NaN	Reservations, Seating, Wheelchair Accessible, Serves Alcohol, Accepts Credit Cards, Table Service	N	N	N	NaN	NaN	NaN	NaN	4.0	36.0	English	2.0	2.0	0.0	0.0	0.0	0.0	4.0	4.5	4.0	NaN	NaN
1	g10001637-d14975787	Le Saint Jouvent	["Europe", "France", "Nouvelle-Aquitaine", "Haute-Vienne", "Saint-Jouvent"]	France	Nouvelle-Aquitaine	Haute-Vienne	Saint-Jouvent	16 Place de l Eglise, 87510 Saint-Jouvent France	45.957040	1.205480	Unclaimed	NaN	#2 of 2 Restaurants in Saint-Jouvent	#2 of 2 places to eat in Saint-Jouvent	Cheap Eats	€	NaN	NaN	NaN	NaN	NaN	N	N	N	NaN	NaN	NaN	NaN	4.0	5.0	All languages	5.0	2.0	2.0	1.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN
2	g10002858-d4586832	Au Bout du Pont	["Europe", "France", "Centre-Val de Loire", "Berry", "Indre", "Rivarennes"]	France	Centre-Val de Loire	Berry	Rivarennes	2 rue des Dames, 36800 Rivarennes France	46.635895	1.386133	Claimed	NaN	#1 of 1 Restaurant in Rivarennes	#1 of 1 places to eat in Rivarennes	Cheap Eats, French, European	€	NaN	Dinner, Lunch, Drinks	French, European	NaN	Reservations, Seating, Table Service, Wheelchair Accessible	N	N	N	NaN	NaN	NaN	NaN	5.0	13.0	English	4.0	3.0	1.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN
3	g10002986-d3510044	Le Relais de Naiade	["Europe", "France", "Nouvelle-Aquitaine", "Correze", "Lacelle"]	France	Nouvelle-Aquitaine	Correze	Lacelle	9 avenue Porte de la Correze 19170, 19170 Lacelle France	45.642610	1.824460	Claimed	NaN	#1 of 1 Restaurant in Lacelle	#1 of 1 places to eat in Lacelle	Cheap Eats, French	€	NaN	Lunch, Dinner	French	NaN	Reservations, Seating, Serves Alcohol, Table Service, Wheelchair Accessible	N	N	N	NaN	NaN	NaN	NaN	4.0	34.0	English	1.0	1.0	0.0	0.0	0.0	0.0	4.5	4.5	4.5	NaN	NaN
4	g10022428-d9767191	Relais Du MontSeigne	["Europe", "France", "Occitanie", "Aveyron", "Saint-Laurent-de-Levezou"]	France	Occitanie	Aveyron	Saint-Laurent-de-Levezou	route du Montseigne, 12620 Saint-Laurent-de-Levezou France	44.208860	2.960470	Unclaimed	NaN	#1 of 1 Restaurant in Saint-Laurent-de-Levezou	#1 of 1 places to eat in Saint-Laurent-de-Levezou	Mid-range, French	€€-€€€	NaN	Lunch, Dinner	French	NaN	Reservations, Seating, Wheelchair Accessible, Table Service	N	N	N	NaN	NaN	NaN	NaN	4.5	11.0	All languages	11.0	4.0	7.0	0.0	0.0	0.0	4.5	4.5	4.5	NaN	NaN
5	g10029260-d6605477	L'Auberge Du Vieux Crozet	["Europe", "France", "Auvergne-Rhone-Alpes", "Loire", "Roanne", "Le Crozet"]	France	Auvergne-Rhone-Alpes	Loire	Le Crozet	59 place du Puits ancienne adresse le Bourg renommée 59 place du Puits, 42310 Le Crozet, Roanne France	46.169823	3.855819	Claimed	Travellers' Choice, Certificate of Excellence 2020	#1 of 1 Restaurant in Le Crozet	#1 of 1 places to eat in Le Crozet	Mid-range, French	€€-€€€	€14-€29	Lunch, Dinner, Drinks	French	NaN	NaN	N	N	N	{"Mon": ["09:00-14:30"], "Tue": ["09:00-14:30", "19:00-21:30"], "Wed": ["09:00-14:30", "19:00-21:30"], "Thu": ["09:00-14:30", "19:00-21:30"], "Fri": ["09:00-14:30", "19:00-22:00"], "Sat": ["09:00-14:30", "19:00-22:00"], "Sun": ["09:00-16:00"]}	7.0	53.5	12.0	4.5	64.0	All languages	64.0	44.0	15.0	2.0	2.0	1.0	4.5	4.5	4.5	NaN	NaN
6	g10029907-d17781655	Cafe Restaurant NouLou	["Europe", "France", "Occitanie", "Aude", "Saint-Denis"]	France	Occitanie	Aude	Saint-Denis	Place de l'Église, 30500 Saint-Denis France	44.233078	4.251449	Claimed	NaN	#2 of 2 Restaurants in Saint-Denis	#2 of 2 places to eat in Saint-Denis	Mid-range, French, European	€€-€€€	€8-€17	Lunch, Dinner	French, European	NaN	NaN	N	N	N	{"Mon": [], "Tue": [], "Wed": ["12:00-14:30", "18:30-22:00"], "Thu": ["12:00-14:30", "18:30-22:00"], "Fri": ["12:00-14:30", "18:30-22:00"], "Sat": ["12:00-14:30", "18:30-22:00"], "Sun": ["12:00-14:30", "18:30-22:00"]}	5.0	30.0	10.0	4.5	24.0	English	4.0	4.0	0.0	0.0	0.0	0.0	4.5	4.5	4.5	NaN	NaN
7	g10029907-d8079764	L'entre 2	["Europe", "France", "Occitanie", "Aude", "Saint-Denis"]	France	Occitanie	Aude	Saint-Denis	4 route de Saissac, 11310 Saint-Denis France	43.360023	2.219851	Claimed	Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017	#1 of 2 Restaurants in Saint-Denis	#1 of 2 places to eat in Saint-Denis	Mid-range, French, European, Vegetarian Friendly	€€-€€€	€10-€35	NaN	French, European	Vegetarian Friendly	NaN	Y	N	N	{"Mon": [], "Tue": ["10:00-14:00"], "Wed": ["10:00-14:00"], "Thu": ["10:00-14:00"], "Fri": ["10:00-14:00"], "Sat": ["10:00-14:00"], "Sun": ["10:00-14:00"]}	6.0	24.0	6.0	4.5	133.0	English	13.0	9.0	3.0	1.0	0.0	0.0	4.5	4.5	4.5	NaN	NaN
8	g10036850-d8414223	Noste Courtiu	["Europe", "France", "Occitanie", "Ariege", "Orgibet"]	France	Occitanie	Ariege	Orgibet	route des Pyrenees, 09800 Orgibet France	42.934000	0.936559	Claimed	NaN	#1 of 1 Restaurant in Orgibet	#1 of 1 places to eat in Orgibet	Mid-range, French, Cafe, Deli	€€-€€€	€12-€26	Lunch, Dinner, Drinks	French, Cafe, Deli, Contemporary, Gastropub	NaN	NaN	N	N	N	{"Mon": [], "Tue": [], "Wed": ["12:00-14:00"], "Thu": ["12:00-14:00"], "Fri": ["12:00-14:00", "19:00-21:00"], "Sat": ["19:00-21:00"], "Sun": ["12:00-14:00", "19:00-21:00"]}	5.0	14.0	7.0	5.0	39.0	English	2.0	2.0	0.0	0.0	0.0	0.0	4.5	4.5	4.5	NaN	NaN
9	g10054961-d3387712	Chez Claudine	["Europe", "France", "Grand Est", "Vosges", "They-sous-Montfort"]	France	Grand Est	Vosges	They-sous-Montfort	136 rue de la Petite They, 88800 They-sous-Montfort France	48.231495	5.973734	Claimed	Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016, Certificate of Excellence 2015	#1 of 1 Restaurant in They-sous-Montfort	#1 of 1 places to eat in They-sous-Montfort	Mid-range, French, European, Wine Bar	€€-€€€	€12-€30	After-hours, Drinks, Lunch, Dinner, Brunch	French, European, Wine Bar	NaN	NaN	N	N	N	{"Mon": [], "Tue": ["09:00-16:00"], "Wed": ["09:00-16:00"], "Thu": ["09:00-21:00"], "Fri": ["09:00-21:00"], "Sat": ["16:45-23:45"], "Sun": ["09:00-17:00"]}	6.0	53.0	6.0	4.5	244.0	English	1.0	1.0	0.0	0.0	0.0	0.0	4.5	4.5	4.5	4.5	NaN

Last rows

	restaurant_link	restaurant_name	original_location	country	region	province	city	address	latitude	longitude	claimed	awards	popularity_detailed	popularity_generic	top_tags	price_level	price_range	meals	cuisines	special_diets	features	vegetarian_friendly	vegan_options	gluten_free	original_open_hours	open_days_per_week	open_hours_per_week	working_shifts_per_week	avg_rating	total_reviews_count	default_language	reviews_count_in_default_language	excellent	very_good	average	poor	terrible	food	service	value	atmosphere	keywords
1083387	g946544-d4753627	Pensiunea Restaurant Rosenau	["Europe", "Romania", "Transylvania", "Central Romania", "Brasov County", "Rasnov"]	Romania	Transylvania	Brasov County	Rasnov	Str. Florilor 27, Rasnov 505400 Romania	45.592760	25.462336	Unclaimed	NaN	#13 of 14 Restaurants in Rasnov	#13 of 15 places to eat in Rasnov	Mid-range, European, Eastern European, Romanian	€€-€€€	NaN	NaN	European, Romanian, Eastern European	NaN	Seating, Serves Alcohol, Reservations, Table Service	N	N	N	{"Mon": ["10:00-00:00"], "Tue": ["10:00-00:00"], "Wed": ["10:00-00:00"], "Thu": ["10:00-00:00"], "Fri": ["10:00-00:00"], "Sat": ["10:00-00:00"], "Sun": ["10:00-00:00"]}	7.0	98.0	7.0	3.0	61.0	English	43.0	7.0	13.0	8.0	6.0	9.0	3.5	3.0	3.5	4.0	NaN
1083388	g946544-d7128597	La Promenada	["Europe", "Romania", "Transylvania", "Central Romania", "Brasov County", "Rasnov"]	Romania	Transylvania	Brasov County	Rasnov	Str. Teilor nr. 88, Rasnov 505400 Romania	45.597910	25.472660	Claimed	Travellers' Choice, Certificate of Excellence 2020, Certificate of Excellence 2019, Certificate of Excellence 2018, Certificate of Excellence 2017, Certificate of Excellence 2016	#1 of 14 Restaurants in Rasnov	#1 of 15 places to eat in Rasnov	Mid-range, Romanian, Vegetarian Friendly, Vegan Options	€€-€€€	NaN	Breakfast, Lunch, Dinner, Brunch	Romanian	Vegetarian Friendly, Vegan Options, Gluten Free Options	NaN	Y	Y	Y	{"Mon": ["13:00-23:00"], "Tue": ["11:00-23:00"], "Wed": ["11:00-23:00"], "Thu": ["11:00-23:00"], "Fri": ["10:00-23:45"], "Sat": ["10:00-23:45"], "Sun": ["10:00-23:00"]}	7.0	86.5	7.0	4.0	355.0	English	266.0	159.0	48.0	25.0	11.0	23.0	4.5	4.0	4.5	NaN	goulash, soup, pork, outdoor playground, nice meal
1083389	g946544-d8490226	Papazaur	["Europe", "Romania", "Transylvania", "Central Romania", "Brasov County", "Rasnov"]	Romania	Transylvania	Brasov County	Rasnov	Strada Cet ii, Rasnov 505400 Romania	45.591618	25.474144	Unclaimed	NaN	#12 of 14 Restaurants in Rasnov	#12 of 15 places to eat in Rasnov	Mid-range, Fast food, European	€€-€€€	NaN	Lunch, Brunch	Fast food, European	NaN	Seating	N	N	N	NaN	NaN	NaN	NaN	3.5	21.0	English	19.0	3.0	7.0	4.0	3.0	2.0	4.0	4.5	4.0	NaN	NaN
1083390	g946544-d8749966	Intim	["Europe", "Romania", "Transylvania", "Central Romania", "Brasov County", "Rasnov"]	Romania	Transylvania	Brasov County	Rasnov	Strada Ion Creanga 1, Rasnov 505400 Romania	45.590786	25.463972	Unclaimed	NaN	#8 of 14 Restaurants in Rasnov	#8 of 15 places to eat in Rasnov	Mid-range, Eastern European, Romanian	€€-€€€	NaN	Lunch, Dinner, Brunch	Eastern European, Romanian	NaN	Reservations, Wheelchair Accessible, Outdoor Seating, Seating, Table Service	N	N	N	NaN	NaN	NaN	NaN	4.0	22.0	English	16.0	5.0	6.0	4.0	0.0	1.0	NaN	NaN	NaN	NaN	NaN
1083391	g9610184-d19807817	Casa Amicii	["Europe", "Romania", "Transylvania", "Western Romania", "Hunedoara County", "Uricani"]	Romania	Transylvania	Hunedoara County	Uricani	Aleea Teilor 34, Uricani 336100 Romania	45.333020	23.124910	Unclaimed	NaN	#1 of 1 Restaurant in Uricani	#1 of 1 places to eat in Uricani	European, Romanian	NaN	NaN	NaN	European, Romanian	NaN	NaN	N	N	N	NaN	NaN	NaN	NaN	5.0	1.0	All languages	1.0	1.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN
1083392	g9710275-d10770782	Complex Popas Pacurari	["Europe", "Romania", "Northeast Romania", "Iasi County", "Valea Lupului"]	Romania	Northeast Romania	Iasi County	NaN	Soseaua Pacurari, Valea Lupului 707410 Romania	47.172950	27.519110	Unclaimed	NaN	#1 of 1 Restaurant in Valea Lupului	#1 of 1 places to eat in Valea Lupului	NaN	NaN	NaN	Lunch, Dinner	NaN	NaN	NaN	N	N	N	{"Mon": ["10:00-22:00"], "Tue": ["10:00-22:00"], "Wed": ["10:00-22:00"], "Thu": ["10:00-22:00"], "Fri": ["10:00-22:00"], "Sat": ["10:00-22:00"], "Sun": ["10:00-22:00"]}	7.0	84.0	7.0	2.5	2.0	English	1.0	0.0	0.0	0.0	0.0	1.0	NaN	NaN	NaN	NaN	NaN
1083393	g9716321-d15026574	Casa Pastravarului DORIPESCO	["Europe", "Romania", "Transylvania", "Central Romania", "Brasov County", "Apata"]	Romania	Transylvania	Brasov County	Apata	DN 13 Judetul Kilometrul 33 Maierus, Apata 507005 Romania	45.904423	25.470509	Claimed	NaN	#1 of 1 Restaurant in Apata	#1 of 1 places to eat in Apata	Mid-range, Eastern European	€€-€€€	NaN	Breakfast, Lunch, Dinner, Brunch, Drinks	Eastern European	NaN	NaN	N	N	N	{"Mon": ["08:00-22:00"], "Tue": ["08:00-22:00"], "Wed": ["08:00-22:00"], "Thu": ["08:00-22:00"], "Fri": ["08:00-22:00"], "Sat": ["08:00-22:00"], "Sun": ["08:00-22:00"]}	7.0	98.0	7.0	2.0	6.0	English	5.0	0.0	1.0	1.0	1.0	2.0	NaN	NaN	NaN	NaN	NaN
1083394	g9722813-d15891057	Hanul Tentea	["Europe", "Romania", "Transylvania", "Northwest Romania", "Maramures County", "Sacel"]	Romania	Transylvania	Maramures County	Sacel	DN17C, Sacel Romania	47.631920	24.450910	Unclaimed	NaN	#1 of 1 Restaurant in Sacel	#1 of 1 places to eat in Sacel	NaN	NaN	NaN	NaN	NaN	NaN	NaN	N	N	N	NaN	NaN	NaN	NaN	3.0	2.0	English	2.0	1.0	0.0	0.0	0.0	1.0	NaN	NaN	NaN	NaN	NaN
1083395	g9726871-d21391722	Casa Paduraru	["Europe", "Romania", "Southern Romania", "Arges County", "Maracineni"]	Romania	Southern Romania	Arges County	NaN	Sat. Argeselu Numarul 432, Maracineni 117450 Romania	44.918950	24.867634	Claimed	NaN	NaN	NaN	Cheap Eats, French, American, Bar	€	€2-€8	Breakfast, Lunch, Dinner, Brunch, Drinks	French, American, Bar, International, European, Pub, Romanian	NaN	NaN	N	N	N	{"Mon": ["10:00-21:00"], "Tue": ["10:00-21:00"], "Wed": ["10:00-21:00"], "Thu": ["10:00-21:00"], "Fri": ["10:00-21:00"], "Sat": [], "Sun": []}	5.0	55.0	5.0	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1083396	g9867250-d14979687	Pastravaria Alina Sarbi	["Europe", "Romania", "Transylvania", "Northwest Romania", "Maramures County", "Budesti"]	Romania	Transylvania	Maramures County	Budesti	Str. Principala Nr 166A, Budesti 437071 Romania	47.752220	23.938343	Unclaimed	NaN	#1 of 1 Restaurant in Budesti	#1 of 1 places to eat in Budesti	Diner	NaN	NaN	NaN	Diner	NaN	NaN	N	N	N	NaN	NaN	NaN	NaN	1.5	3.0	English	2.0	0.0	0.0	1.0	0.0	1.0	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Letter

Other Punctuation

Decimal Number

Nonspacing Mark

Other Symbol

Math Symbol

Space Separator

Modifier Symbol

Format

Open Punctuation

Dash Punctuation

Close Punctuation

Modifier Letter

Final Punctuation

Initial Punctuation

Other Number

Currency Symbol

Control

Connector Punctuation

Spacing Mark

Letter Number

Line Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Han

Greek

Cyrillic

Arabic

Inherited

Hebrew

Katakana

Devanagari

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Diacriticals

Cyrillic

Arabic

Latin Ext Additional

Currency Symbols

CJK

Math Operators

Letterlike Symbols

Modifier Letters

Hebrew

Devanagari

Number Forms

Katakana

Phonetic Ext

Misc Technical

Phonetic Ext Sup

Misc Symbols